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    I’m seeking a proficient developer with experience in open source model registration on Azure ML. The task involves using a multimodel RAG to provide API's, designing verification and validation for the model, as well as working with the front and backend development team. Key Requirements are: - Expertise in Azure ML and open source frameworks. While TensorFlow, PyTorch, and Keras are all options, preference will be given to freelancers who are versatile and can recommend the best approach based on their experience. - Past work. Please provide examples of previous projects involving Azure ML and API implementation, especially those which required collaboration with a larger development team. - Collaboration capabilities. Direct collaboration with the front and ba...

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    I'm looking to develop a real-time Arabic Sign Lan...educational resource, specifically to cater to the needs of the general public. - **Deployment Platform:** The final model will not be deployed on any specific platform but will be available for training and inference in a .ipynb notebook. Ideal Freelancer: - Proficient in Python and MediaPipe for real-time hand tracking - Experience in developing machine learning models, especially in TensorFlow/Keras for the .ipynb and .h5 formats. - Familiarity with sign language, particularly Arabic sign language, would be advantageous. - A background in educational technology or experience in creating educational resources is a plus. Please make sure to include any related experience, projects, or research that you think would be relev...

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    ...an specific custom ai tool for single user/propt private usage,give turbo organic internet traffic on my same as AdWords work .before post this project.I already serach about 'build ai custom model 'and I found many platform allow to build dataset/host/run custom model free of cost ,like tensorflow/pytorch/colab/teachable machine /diagflow/streamlit/kaggle/clarifai/python anywhere/keras etc,I can't build because i haven't knowledge of programming,don't make me I have analytic account and several AI tool available for found where traffic come on organic internet traffic generator ai tool.i like appreciate if anyone responded is fixed because no need to buy any types of online is available free of cost .the feature of my private ai

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    ...enhance efficiency, and provide a competitive edge to our clients. Data Analysis and Visualization: Harness the power of Python libraries such as Pandas, NumPy, and Matplotlib to perform in-depth data analysis, extract actionable insights, and visualize complex data sets effectively. Machine Learning Solutions: Develop machine learning models and algorithms using Python frameworks like TensorFlow, Keras, and Scikit-learn to enable predictive analytics, pattern recognition, and automated decision-making. Web Development: Create dynamic and responsive web applications using Python-based frameworks such as Django and Flask, ensuring scalability, security, and a seamless user experience. Integration and Automation: Integrate disparate systems, automate repetitive tasks, and streamlin...

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    ...existing CNN-based breast cancer detection code to include the VGG16 model. This will involve: - Complete refactoring of the code. - Implementation in Python using both TensorFlow and Keras. - Creating detailed comments to provide robust explanation and understanding of the code. Max Budget--> 2500 Min Requirement --> An equivalent implementation using any of VGG16 or VGG19. Link of the Project : The ideal candidate for this job would possess extensive experience in Neural Networks especially in VGG models, Python, TensorFlow, and Keras. Understanding of breast cancer detection methods would also be beneficial. I'm seeking a professional who can provide quality assurance, and ensure the refurbished code remains

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    Objective: We are seeking an individual or company skilled in neural networks and Keras to develop a predictive model. This model will forecast the occurrence of a phenomenon based on historical data. Requirements: Data Acquisition: Historical data required for training the model will be fetched via an API from our comprehensive database, which is updated multiple times weekly. Data Processing: All retrieved data will be processed to facilitate effective model training. This includes Exploratory Data Analysis (EDA) to identify impactful data, outlier detection for data quality, and feature engineering to determine the final model inputs. Model Development: Train two types of models using Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) architectures: A classification mo...

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    ...will be given preference. Accuracy and efficiency of the created model are paramount. The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture is largely in place, but there are a few key tasks that require attention: Replace Deprecated TensorFlow and Keras Methods: The project currently uses deprecated methods of TensorFlow and Keras, which need to be updated to ensure compatibility with the latest versions. This is crucial for maintaining the long-term reliability and efficiency of the model. Integration of Grad-CAM Outputs: I'm looking for effective implementation of Grad-CAM (Gradient-weighted Class Activation Mapping) to visualize the model's predict...

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    I'm seeking a proficient developer conversant with advanced neural networks, with an emphasis on reinforcement learning through OpenAI. Ideally, you have: - Strong skills in Python, we will be using this as our primary programming language. - In-depth hands-on familiarity with TensorFlow, PyTorch, and Keras frameworks. - Extensive experience in developing reinforcement learning applications. - The ability to capitalize on past experiences to bring creative solutions to complex problems, while always keeping an eye on performance and efficiency. Your task will be to pioneer the development of high caliber machine learning models. I expect you to bring creativity and novelty to your work, to push boundaries and question the status quo. Apply now if this resonates with you!

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    I'm looking to solve a classification problem with my tabular data using Python. Skills and Experience Needed: - Capability in Python programming is crucial, familiarity with libraries such as pandas, sklearn, and keras is necessary - You should be proficient in machine learning algorithms, specifically focusing on data classification - Experience in handling and manipulating tabular data for machine learning applications - Understanding of data cleaning, preprocessing and feature engineering Project Requirements: - Development of a Python-based data classification model - Utilizing machine learning techniques to process tabular data - Rigorous testing of the model's accuracy and improving it if required - Documenting the steps and coding process for future reference ...

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    As the head of this exciting project, I’m searc...and interactive mobile application that uses CNN, MobileNet, and VGG architectures for melanoma detection. Key Deliverables: • Design and implementation of a robust and efficient deep learning model, capable of increasing the accuracy of melanoma detection. • The model should be built on platforms like Keras, PyTorch, and TensorFlow. Skills and Experience: • Extensive experience with deep learning and neural networks, particularly with CNN, MobileNet, and VGG. • Proficient in using Keras, TensorFlow, and PyTorch. • Proven track record in mobile application development, preferably experienced with creating interactive interfaces for complex applications. If this project sounds right up you...

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    I'm in need of an experienced Python developer to build an ultra-fast Convolutional Neural Network (CNN) model for a tabular dataset. The primary purpose of this model will be cla...- binary - 8 classes - 48 classes Key deliverables: - A highly efficient and fast CNN model - Clear documentation of the code and steps involved in the development process. - The dataset classification needs alot of balancing Preferred Experience and Skills: - Strong expertise in Python programming - Proven experience in CNN model development for data classification - Familiarity with Keras, TensorFlow, or PyTorch is a plus, although it's not mandatory since I haven't specified any particular library or framework. Ultimately, I require an expert who can build this model with sup...

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    I am seeking an experienced individual who can assist me in creating a Deep Learning Model. Requirements: -Proficiency in various deep learning frameworks such as TensorFlow, PyTorch, or Keras. -Knowledge of image recognition, natural language processing, and time series forecasting in deep learning. -Successful freelancers should include past work experiences, detailed project proposals, and any relevant experience in their applications. Please frame your application with encountered challenges and the solutions provided in past projects. Demonstrating problem-solving capability is crucial. Expertise in the above-mentioned deep learning framework is preferred but not mandatory as the specific framework to be utilized hasn't been decided yet. This project will involve pro...

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    ...Learning/Deep Learning: image classification and analysis (e.g., CNNs, ResNet, InceptionV3, EfficientNet). • Computer Vision: feature extraction, object detection, and image processing. • Data Science: ability to work with large datasets, including data cleaning, augmentation, and analysis. Knowledge of statistical analysis and predictive modeling. Tools and Technologies: • Python, TensorFlow, PyTorch, Keras, and OpenCV. • Dataset Handling. Experience in managing and processing large and diverse datasets • AI Model Optimization, such as model pruning, quantization, and distillation. • Data protection knowledge such as GDPR and know how to implement privacy-by-design principles. Project Overview Objectives • Customization and Enhancement: Ada...

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    I'm looking for an experienced Python developer, proficient in TensorFlow and Keras, to create comprehensive notebooks covering specific machine learning concepts. Key focus areas should include: - Convolutional Neural Networks (CNNs) - Various Feature extraction techniques All work should be accomplished at a comfortable pace with no imposed time limit. Your commitment to quality and accuracy is far more crucial to me than speed. The end result should be an easily understandable and reusable code that clearly explains the above-mentioned concepts, suitable for learning purposes. Programming expertise in Python as well as proficiency in TensorFlow and Keras is a must.

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    RESPONSIBILITIES • Designing, developing, and imple...have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, GANs, LLMs. • You are proficient in Python and have experience with machine learning/LLM/Gen AI libraries and frameworks such as TensorFlow, PyTorch, Keras, Langchain. • You have a working knowledge of R. • You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. • You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. • Minimum 2+ years of experience in NLP,...

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    ...experience in LSTM models. - Understanding of IoT security challenges and familiarity with common security threats. - Experience in conducting research and development (R&D) projects, preferably related to IoT. - Ability to simulate IoT environments and anomalies for model training and testing. - Knowledge of programming languages and tools relevant to machine learning and IoT (e.g., Python, TensorFlow, Keras). - Strong analytical and problem-solving skills, especially in anomaly detection and security. ### Project Goals: - To develop an LSTM model that can accurately identify security anomalies in simulated IoT environments. - To contribute to the body of knowledge in IoT security by addressing the lack of efficient security anomaly detection systems. This project is an ex...

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    ...application that leverages computer vision technologies for gesture recognition. This project involves the classification, detection, tracing, and segmentation of specific gestures - namely hand waving, and an interesting challenge, the detection of street banner installation activities. I need a summary of the application field, data type, data no, and details for each dataset; framework (tensorflow, keras, pytorch); architecture (ex. yolo, ResNet, pre-trained); MI output results, score and reports, in addition to the actual data db. ; **Core Project Requirements:** - The system must proficiently identify and classify 'hand waving' gestures and activities akin to 'street banner installations'. - It needs to run seamlessly on both Windows and Linux platforms, ...

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    ...be it Object Detection, Facial Recognition, or Image Classification. I am open to any of these as long as the project is innovative and challenging. - **Dataset:** Utilization of a publicly available dataset for the project to ensure accessibility and feasibility. ### Skills and Experience Required: - **Technical Proficiency** in Python and familiarity with AI & ML libraries such as TensorFlow, Keras, or PyTorch. - **Experience** in working with computer vision projects, especially those that involve object detection, facial recognition, or image classification. - **Ability to Conduct Research** to select the most suitable publicly available dataset for the project. - **Report Writing Skills** to compile the project's findings, methodologies, and results into a comprehe...

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    ...diabetic retinopathy using image data. This project aims to leverage the potential of AI in medical diagnostics, with a focus on enhancing the precision and reliability of diabetic retinopathy identification. ### Ideal Skills and Experience: - Proficient in AI and ML technologies, with a strong emphasis on image processing and classification algorithms. - Extensive experience with Python, TensorFlow, Keras, or similar frameworks. - Background in medical imaging, computer vision, or related fields. - Familiarity with dataset augmentation and handling large volumes of image data. - Proven track record of developing high-accuracy ML models, preferably in healthcare. ### Requirements: - Develop an ML model capable of accurately classifying diabetic retinopathy from retinal images. ...

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    I am looking for a skilled machine learning engineer or data scientist, proficient in Python, to build four large language models trained specifically for biomedical named entity recognition. My requirements are: - Develop large language models to perform biomedical named entity recognition. - Models must be built using Python. Knowledge in TensorFlow, Keras or PyTorch is helpful. - Models will be trained using a specific dataset I will provide, so experience in training language models with specific datasets is essential. - Ideally, you should have experience or understanding in bioinformatics. - Provide thorough documentation on the model architecture and training process. This project aims to extract meaningful information from biomedical text, your contribution will significan...

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    ...classification model that accurately categorizes images into 10 predefined classes. **Requirements:** - Experience in machine learning, specifically in building and training classification models. - Proficiency in handling image data, with a keen eye for detail to ensure high accuracy in classification. - Strong coding skills in Python, including familiarity with libraries such as TensorFlow, Keras, or PyTorch. - Ability to preprocess and clean image data to optimize model performance. - A creative problem-solving approach to handle classification challenges. **Ideal Skills and Experience:** - Previous experience with image classification projects. - Strong portfolio showcasing similar machine learning projects. - Excellent understanding of machine learning algorithms and the...

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    ... **Ideal Skills and Experience:** - Expertise in Machine Learning and Artificial Intelligence, particularly in the realm of image recognition. - Strong background in software development with experience in creating applications for agricultural or biological research. - Proficiency in programming languages like Python, with knowledge in libraries and frameworks such as TensorFlow, PyTorch, or Keras that are relevant for developing image recognition features. - Previous work on similar projects or familiarity with agricultural sciences is a plus, though not strictly necessary. This project promises to be at the cutting-edge of technology in agriculture, offering significant benefits to farmers, researchers, and the agricultural industry at large by facilitating precise crop vari...

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    ...classification model that accurately categorizes images into 10 predefined classes. **Requirements:** - Experience in machine learning, specifically in building and training classification models. - Proficiency in handling image data, with a keen eye for detail to ensure high accuracy in classification. - Strong coding skills in Python, including familiarity with libraries such as TensorFlow, Keras, or PyTorch. - Ability to preprocess and clean image data to optimize model performance. - A creative problem-solving approach to handle classification challenges. **Ideal Skills and Experience:** - Previous experience with image classification projects. - Strong portfolio showcasing similar machine learning projects. - Excellent understanding of machine learning algorithms and the...

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    ...cutting-edge machine learning algorithms to identify trading opportunities. The approach can be fully automated or a hybrid model that also suggests trades for manual execution. Your input on the best course of action is welcome. - **Experience and Skills:** - Proficiency in Python and libraries relevant to data analysis and machine learning (e.g., Pandas, NumPy, scikit-learn, TensorFlow, or Keras). - Previous experience in developing trading scripts or bots, with a strong understanding of the financial markets. - Ability to implement machine learning algorithms that can adapt to market conditions. **What to Include in Your Application:** Although not mandatory, including examples of past work or detailed project proposals could greatly strengthen your application. I'...

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    ...cutting-edge machine learning algorithms to identify trading opportunities. The approach can be fully automated or a hybrid model that also suggests trades for manual execution. Your input on the best course of action is welcome. - **Experience and Skills:** - Proficiency in Python and libraries relevant to data analysis and machine learning (e.g., Pandas, NumPy, scikit-learn, TensorFlow, or Keras). - Previous experience in developing trading scripts or bots, with a strong understanding of the financial markets. - Ability to implement machine learning algorithms that can adapt to market conditions. **What to Include in Your Application:** Although not mandatory, including examples of past work or detailed project proposals could greatly strengthen your application. I'...

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    I'm seeking an experienced AI developer to create a cuttin...to predict future market movements - Ensure high accuracy and reliability in forecasting to support strategic decision-making Ideal skills: - Proficiency in machine learning and predictive modeling - Strong knowledge in finance and stock market behavior - Expertise in data analysis and statistical tools - Experience with Python, R, or similar programming languages - Familiarity with TensorFlow, Keras, or comparable ML libraries - Ability to translate complex datasets into actionable insights The success of this project hinges on the creation of an AI model that not only identifies patterns but also provides a competitive edge in financial forecasting. If you have a proven track record with AI in finance, I'd lo...

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    ...help develop a Python-based AI project. My objectives include: - Designing and implementing supervised learning algorithms. - Analyzing and interpreting visual data for pattern recognition. - Integrating image processing techniques with AI models. Ideal candidate skills: - Proficiency in Python programming. - Extensive experience with machine learning libraries (e.g., scikit-learn, TensorFlow, Keras). - Familiarity with image recognition and computer vision. - Understanding of supervised learning concepts and algorithms. - Capable of handling and processing large image datasets. - Creative mindset for innovative model development. This project requires someone with a proven track record in similar AI projects and who can efficiently train models to achieve accurate results. A...

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    Seeking a specialist in Computer Vision for medical imaging. Key Responsibilities: - Annotate 2D slices (masks) on 3D medical images on a s...dataset. - Perform unsupervised image segmentation on X-Ray scans (500 images). Essential Skills: - Proficiency in Python. - Experience with medical imaging datasets and labeling. - Understanding of segmentation algorithms (UNet, SAM, etc). Ideal Freelancer Profile: - Prior projects on object detection/image segmentation. - Familiarity with relevant deep learning libraries (e.g., TensorFlow, Keras). - Excellent communication and documentation skills. This project requires a meticulous approach and the ability to work with sensitive medical imaging data. Previous experience in the machine learning in healthcare technology sector is highly ...

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    I am a commodity trader i want prediction based on historical data available at me. and predict next candlestick before 10 second. in realtime. the software you develop will connected through api to my broker which get realtime data. and predict next candlestick based on deep learning (keras, tensorflow) nural network trained data. Essential Skills: - Proficiency in deep learning and AI - Experience with financial markets - Understanding of high-level trend analysis Requirements: - Develop a predictive model using advanced deep learning techniques. - The focus will be on recognizing and interpreting significant market trends. - The model should be adaptable for various commodities, as the specific one is yet to be determined. I have attached all the commodity data down below and...

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    I'm seeking an expert in Python to develop a sophis...non-blurred images with precision. The classifier needs to detect various blurring techniques with high accuracy, especially: - Gaussian blur - Motion blur The goal is for the classifier to achieve above 90% accuracy. To successfully bid on this project, you'll need: - Proficiency in Python - Experience with image processing - Knowledge in using machine learning libraries (e.g., TensorFlow, Keras) - Understanding of computer vision and image classification algorithms If you can demonstrate past projects where you've achieved similar results, that would greatly enhance your proposal. I'm looking forward to working with a detail-oriented and performance-driven developer to complete this project efficiently. ...

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    ...primary objective of the project is to accurately classify different types of land cover in satellite images using the UNet model. If you have a strong background in machine learning and have handled similar projects, I'm eager to hear from you. Ideal Skills: - Python coding expertise. - Mastery of UNet and similar models. - Knowledge of satellite imagery processing. - Experience with TensorFlow, Keras, or equivalent. - Understanding of land cover classification techniques. Your application should include a portfolio demonstrating relevant work, specifically previous projects on satellite image segmentation or related fields. Please also detail your approach to this project and provide an estimated timeline for the deliverables....

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    SDN Network Performance Measurement 1. Knowledge of network simulator mininet and SDN networks (using POX/Daylight etc) - to be able to create a topology 2. Knowledge of reinforcement learning - should be able to create agents using different algorithms. Knowledge of tensorflow, Keras, Numpy, Pandas, Scikit learn etc would be useful

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    I'm seeking an experienced freelancer to help bolster my academic project with specialized machine learning expertise. My...accuracy of the predictions. Ideal Candidate: - Proficient in data preprocessing techniques. - Expertise in various supervised learning algorithms. - Solid understanding of model evaluation metrics. - Ability to write clean, maintainable code. - Experience with Python, R, or a similar programming language common in data science. - Familiarity with ML libraries (e.g., scikit-learn, TensorFlow, or Keras). Please note, the type of data I'm working with has not been specified. Be prepared to discuss your experience with different data types, particularly tabular, image, and text data. Your insight will be invaluable in narrowing the focus and improving ...

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    Require screen sharing video call 1 hr for now - introduction how to & setup, etc For this project, the goal is to create an image recognition system capable of identifying whether an image contains a cat or a dog. I'm inclined towards the implementation of deep learning algorithms, given their efficacy in image classificat...given their efficacy in image classification tasks. The chosen algorithm should proficiently sort images into either 'cat' or 'dog', enhancing the accuracy level is a priority. Required Skills and Experience: - Proficiency in Python - Solid understanding of deep learning algorithms - Experience in image classification tasks - Familiarity with popular deep learning frameworks (TensorFlow, PyTorch, Keras, etc.) as the client has l...

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    Require screen sharing video call 1 hr for now - introduction how to & setup, etc For this project, the goal is to create an image recognition system capable of identifying whether an image contains a cat or a dog. I'm inclined towards the implementation of deep learning algorithms, given their efficacy in image classificat...given their efficacy in image classification tasks. The chosen algorithm should proficiently sort images into either 'cat' or 'dog', enhancing the accuracy level is a priority. Required Skills and Experience: - Proficiency in Python - Solid understanding of deep learning algorithms - Experience in image classification tasks - Familiarity with popular deep learning frameworks (TensorFlow, PyTorch, Keras, etc.) as the client has l...

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    ...found at this GitHub repository, For efficiency's sake, it's acceptable to downsize the dataset for quicker training times—a key deliverable is to ensure the code runs smoothly. Key Details: - You'll need to be proficient in Python, as this is the preferred language for the task. - Deep learning frameworks are open to choice. Expertise in TensorFlow, Keras or PyTorch would be beneficial. - Time frame for project delivery is flexible, however, we can discuss any urgent deadlines further. Ideal candidates will have extensive experience in Python programming, and a strong working knowledge of one or more deep learning frameworks. A background in both Deep Learning and Visual Question Answering will be advantageous. Please include relevant experiences

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    ...generate accurate, reliable predictions based on historical data and other relevant factors. Ideal Skills & Experience for the Job: - Expertise in AI and machine learning - Profound knowledge of financial markets and stock price forecasting - Experience with tabular data analysis and forecasting - Proficient in Python or R programming languages - Familiarity with AI platforms like TensorFlow, Keras or PyTorch Please note, accuracy is paramount in this project and your bid should reflect your confidence in achieving high predictive accuracy. The Dataset i will provide it will have Input and output folder , the data file has 1 to 100 columns , the input is the pattern data and output is result of pattern so ai model should get trained using both and then when user gives th...

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    ...responsibilities will include: - Debugging and completion of current codebase - Ensuring functionality of image classification features - Implementing clear, concise comments post each code segment * Ideal Skills: - Strong experience with Python programming - Proven track record with computer vision libraries (OpenCV, TensorFlow, etc.) - Deep understanding of deep learning frameworks (Keras, PyTorch) - Comfortable working with Google Colab notebooks - Familiarity with image handling and preprocessing Your expertise in the intricacies of neural networks and image processing algorithms will be the bedrock of the project's success. Remember, readability and code documentation are as crucial as functionality. I'm eager to partner with someone who shares my...

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    Project Description: Train a Model or produce a script capable of identify nut torque indicators in vehicle wheels (see pictures) and the direction they are pointing...Strong knowledge and experience in image recognition algorithms - Expertise in training models using Python - Ability to work without a pre-prepared dataset and gather relevant data for training - Proficiency in data preparation and cleaning techniques for image recognition models - Familiarity with Python libraries and frameworks for machine learning and image recognition, such as TensorFlow, Keras, or PyTorch - Strong problem-solving skills and the ability to optimize and fine-tune models for accurate image recognition - Experience in evaluating and validating model performance and making necessary adjustments for i...

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    Seeking an experienced KerasCV developer for a face recognition project, with an option to use FaceNet or Keras-vggface for model development. The role requires developing a custom face recognition script that runs efficiently on Google Colab, using either KerasCV, FaceNet, or Keras-vggface in Python. Key tasks include data preprocessing, designing a CNN model, and ensuring compatibility with Google Colab's environment.

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    ...language to timeline data for the development of an intelligent and efficient stock prediction model. The ideal candidate for this project would: - Have deep expertise in Machine Learning and Deep Learning concepts, specifically as applied to stock market predictions. - Have proficiency in Python and associated libraries used for machine learning and data science such as Scikit-learn, TensorFlow, Keras, and Pandas. - Have experience in working with time-series data and financial modelling. - Have a sound understanding of the stock market, particularly the NASDAQ Composite index. - Model should plot the graph for the last 2 months actual vs predicted price. Also should predict next 30 days data. - As we get the actual data, model should learn from the actual data. - I will pro...

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    ...AI at Skillopedia. The trainer will be responsible for planning and delivering training programs in AI and Machine Learning to organizations. The trainer will also conduct assessments, evaluate training effectiveness, and collaborate with cross-functional teams to develop innovative training modules. Qualifications Expertise with Machine Learning and AI tools and frameworks like TensorFlow, Keras, and PyTorch Understand No code AI tools Proven experience delivering training programs to corporate clients and individuals in Machine Learning and AI Excellent knowledge of Deep Learning, Neural Networks, and Natural Language Processing (NLP) Solid understanding of statistical and mathematical concepts used in AI and Machine Learning Strong analytical and problem-solving skills, in...

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    Image recognition app for restaurant needed to capture the food items and to do reconciliation will bills. Machine Learning and AI: Proficiency in machine learning algorithms, especially in image recognition (Convolutional Neural Networks, etc.). Experience with AI frameworks such as TensorFlow, PyTorch, or Keras. Ability to process and analyze large datasets for training models. Knowledge of OCR (Optical Character Recognition) technologies for bill scanning and text extraction.

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    I am looking for an NLP specialist with intermediate experience in English language for my project. The specific tasks that I need help with include text classification. Ideal Skills and Experience: - strong background ML knowledge - proficiency in python - familiarity with keras, pandas, sklearn - Intermediate level of experience in NLP - Proficiency in English language - Strong knowledge and understanding of text classification techniques

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    ...conditions and with slight variations in head pose or hairstyle. Technical Requirements: Solid understanding of deep learning concepts and architectures, particularly Convolutional Neural Networks (CNNs). Experience with object detection and feature extraction techniques, including Faster-RCNN, YOLO models, and LBP filters. Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Keras. Familiarity with ear biometrics, including data preprocessing, feature selection, and recognition algorithms. Ability to train and optimize deep learning models for high accuracy and real-time performance. Experience with webcam capture and image processing for consistent data acquisition. Software development skills to integrate the model into a user-friendly interface. Strong under...

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    I am looking for a freelancer to develop an LSTM neural network for time series prediction. Dataset: - I can provide the specific dataset for training the model. Accuracy: - The desired level of accuracy for the model is 70-80%. Skills and experience: - Experience in developing LSTM neural networks for time series prediction. - Proficiency in handling and preprocessing datasets. - Strong...level of accuracy for the model is 70-80%. Skills and experience: - Experience in developing LSTM neural networks for time series prediction. - Proficiency in handling and preprocessing datasets. - Strong understanding of deep learning algorithms and techniques. - Ability to fine-tune and optimize the model for improved accuracy. - Knowledge of Python and relevant libraries such as TensorFlow or ...

    £120 (Avg Bid)
    £120 Avg Bid
    64 bids

    I'm seeking a proficient freelancer with an expertise in Python and Deep Learning to accomplish an image recognition project. The task should be implemented using Python code in idle. While no specific deep learning library is preferred, a solid understanding of TensorFlow, Keras and PyTorch will be advantageous to navigate through this project effectively. Experience in image recognition tasks is mandatory for this project. You’ll primarily focus on: - Building and training a custom deep learning model (transformer, lstm, and gru) for image recognition and NLP. - Testing the model's accuracy and adjusting parameters for optimization. - Delivering clean and reusable Python code for the project. - I have all hyperparameters and datasets to be used.

    £416 (Avg Bid)
    £416 Avg Bid
    75 bids