Dcgan colab jobs
...particular, I'd like to enhance the model using "Deforming CNN". Key Points: - Current ML framework: TensorFlow - Requirement for improvement: Implementing a different algorithm - Desired algorithm: Deforming CNN Ideal skills for this project: - Proficiency in TensorFlow - Understanding of Convolutional Neural Networks (CNN) - Experience with implementing and optimizing ML algorithms - Google Colab Your task would be to integrate the Deforming CNN algorithm into the existing model, troubleshoot any issues, and ensure it enhances the model's accuracy. The goal is to significantly improve the model's predictive power. Please provide details of your prior experience in similar projects, and any relevant qualifications you hold. The original model is asso...
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I need to train a model with a dataset and need help with it. The objective is to guide me to run the available code by ordering it and training it with a dataset on google colab, also provide a document as a read me file to explain it. The code is of a research paper with the name Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. The link for the paper is Also the verified code is at and the ipynb notebook is attached below, the snippets are to be reordered in order to run it as per the research paper and train it with Uni-Mib SHAR dataset which is availabe in NumPy format. The needed
I need support in cleaning and organizing a dataset. - You should be proficient in Python. - Experience with data cleaning and manipulation. - Familiarity with data analysis would be an added advantage. Part A: Advanced Data Analysis Load '' into Jupyter or Colab. Compute Pearson's correlation coefficient for all attributes, save as corr_matrix. Sort and display correlation of all attributes with 'number_of_reviews'. Visualize with Seaborn's heatmap for corr_matrix and pandas' scatter_matrix for 'number_of_reviews', 'reviews_per_month', 'availability_365'. Part B: PCA with MNIST Dataset Discuss motivations and drawbacks of reducing dimensionality, including the curse of dimensionality. Explain if and how you can re...
I'm seeking a proficient Python developer with experience in machine learni...TensorFlow for handling machine learning tasks. Your experience with Google Colab will greatly benefit this project as you'll be troubleshooting code specific to this platform. The code for the paper attached below can be found at , the model is to be trained with OPPORTUNITY Human activity dataset The code is for the research paper which can be found at Database - https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition This is the research paper and the code is attached to it, I'm unable to run it and debug it, help me with running it on google colab.
I'm searching for a skilled professional who can seamlessly integrate our sales forecasting codebase (developed in Google Colab) into our website. The primary objective is to construct an intuitive user interface that effectively employs our existing code for dynamic forecasting. Specifically, the website should have the following features: - Interactive Charts: The site should be able to display charts that are engaging, informative and user-friendly. - Dynamic Forecasting: The integration should allow users to forecast product volumes for a specific item over the upcoming 15 days or a month. The data will be based on our existing sales forecasting code. Key Requirements: - Proficient in both Python and JavaScript. - Prior experience with integrating complex codebases int...
Core Development : Spearhead the design, development, and deployment of generative AI models with a focus on natural language understanding and processing. Tool Utilization and Contribution : Engage with and contribute to libraries and frameworks such as LangChain, ensuring our application development is as...software engineering practices, from version control to CI/CD pipelines, ensures quality and efficiency. Problem-Solving and Collaboration : Exceptional problem-solving skills, innovative thinking, and the ability to collaborate effectively across teams are crucial. Ethical Framework : A solid understanding of ethical AI principles underpins everything we do. Tool Competency : Proficiency in Google Colab and Postman or similar API platforms is vital for prototyping and testing ...
Looking for Python expert to do code corrections based on reviews Long TERM. For initial test taks I attach code in Google Colab Notebook + TXT file with required corrections + New test data. Please asnwer to each and/or mark that which are unclear
...learning and Google Colab environment. The main goal of this project is to create an AI system capable of diagnosing retinoblastoma through eye images. Key tasks include: - Building an algorithm that accurately compares new eye images with a provided dataset of 50 normal eye images and 50 images of retinoblastoma. - Ensuring seamless functionality on the Google Colab compiler. - The project entails supervised machine learning, as the datasets are labelled correctly. - Confirming the AI's ability to effectively diagnose retinoblastoma based on its comparison of the uploaded image and the image dataset. The successful candidate will have strong skills in machine learning algorithms, specifically for medical diagnosis purposes, as well as proficiency in Python and Go...
I am looking for a skilled freelancer to analyze the sentiments of the reviews given by the customers in the data and make some useful conclusions. Read ML PROJECT GUIDELINES pdf for full details. Two dataset excel files are given. Project should be done in Sample submission colab notebook. An example project is also given for reference. Complete full project as in the notebook and guidelines. Requirements: - Analyze and categorize sentiments - Visualize the results - Cluster Zomato restaurants into different segments. Ideal skills: - Strong experience in machine learning - Proficiency in data analysis and visualization - Knowledge of sentiment analysis techniques - Familiarity with clustering algorithms
For this project, I require a freelancer with explicit skills in Python and predictive modeling like CNN UNET,SVM,RESNET, specifically Semantic Segmentation. The primary goal is to harness AI in understanding images and mining useful insights therefrom. Using GOOGLE Colab is best for me I have code for Model i will give and i have some augmentation codes that work with colab Here's a step-by-step plan to accomplish your project:(Google Colab is Best for me) Dataset: Split your dataset into training, testing, and validation sets with ratios of 0.6, 0.2, and 0.2 respectively. You can use libraries like scikit-learn to achieve this. Augmentation: Apply various augmentation techniques to create separate augmented datasets. These techniques include: Rotation C...
..., or other sources. Important: models should be recent (from the last 9 years: 2015-2024), well known and having an research article about the model with results. Because we are going to benchmark them and get new results. Make sure all found models can be executed and re-trained in the free version of Google Colab using GPU environment. Models should not be too big or complex, it should comply with Google Colab free version limits. 2) Create a free version of Google Colab notebook using GPU environment. In notebook do the following: 2.1) change each model's architecture found at step 1, by appending(merging) our small tensorflow model: input_layer = custom_input_layer() hidden = (10, activation='gelu')(input_layer) hidden = ()([input_layer,
We have a task at hand involving the extraction of frames from a video file. Each frame from the video is converted into an image. Now, within these images, there are elements such as numbers and text. Our objective is to capture and extract these numerical and textual elements. We then organize this extracted data into CSV (Comma-Separated Values) files, making it easier to manage and analyze... making it easier to manage and analyze. Additionally, depending on specific requirements or preferences, we might need to customize or adjust the formatting of the CSV files accordingly. This process allows us to effectively utilize the information contained within the video frames for further analysis or applications. this whole thing should developed in python code and executable in google c...
I am currently seeking an experienced Python developer who can efficiently download next-GPT into my Colab Pro. In addition to integrating the model, the successful candidate should be proficient in setting up the user interface in Colab Pro accurately. Key Responsibilities: - download the GPT into my Colab Pro using Python. - make it run in my environment. - Construct and fine-tune the UI in Colab Pro.
The goal of this project is to create an advanced weather forecasting system that utilizes weather data provided by the Visual Crossing API. The project aims to process and analyze historical and current data to create weather forecasts for the next 26 days. The system will be built using TensorFlow in the Google Colab environment, which will allow for the use of cloud computing resources and facilitate the work on the project. Requirements: Integration with Visual Crossing API: Implementation of integration with the Visual Crossing API is required to retrieve weather data. The data should cover a wide range of information, such as temperature, precipitation, humidity, wind speed, atmospheric pressure, and more. Data Processing and Analysis: Weather data should be processed and p...
I'm searching for an intermediate level data scientist who can use Python effectively within the Google Colab environment. The primary responsibilities for this project are: - Fix error in .json dataset to use in Google Colab (currently showing invalid json) - Implement basic ML/DL Models - Data Analysis: This will require proficiency in Python and a good grasp of statistical analysis. - Data Visualization: Skills in data visualization will be essential to represent results clearly. Please only apply if you hold proficiency in Python programming and have intermediate experience in Google Colab. Familiarity with machine learning techniques and an ability to effectively visualize data is also desirable.
You need to select a subset of data with 100-150 Company related facts from Knowledgenet. Use Facts triplet with these relations (DATE_FOUNDED (ORG–DATE), HEADQUARTERS (ORG–LOC), SUBSIDIARY_OF (ORG–ORG), FOUNDED_BY (ORG–PER), CEO (ORG–PER) for creating the knowledge...Company related facts from Knowledgenet. Use Facts triplet with these relations (DATE_FOUNDED (ORG–DATE), HEADQUARTERS (ORG–LOC), SUBSIDIARY_OF (ORG–ORG), FOUNDED_BY (ORG–PER), CEO (ORG–PER) for creating the knowledge base. Reference Dataset Links: use inside the dataset as your source of data. Deliverables: * Complete code that can run on Google Colab * Report of the process which you have followed to build & train * Report 15 - sample conversation ...
We require an experienced programmer to answer these questions using Google colab and then a meeting through Google meet, we are programmers and we would make the code, it is just advice and audit of a chat bot that we developed with AI but we are having some problems. Hi nice to meet you. I would like to know if you have experience in: 1) developing agents in puthon without using langchain, 2) what developments you have done with llms and huggingface 3) if you have done any development to generate business intelligence by consulting a db and using a huggingface model 4) Do you have experience optimizing Google Colab servers with Nvidia cards?
I am seeking a proficient data analyst familiar with Jupyter or Google Colab. The key tasks include data loading, exploratory analysis, handling missing data, and clever visualization techniques. The dataset size is large with more than 10,000 records. Ideal Skills and Experience: - Proficiency in using Jupyter or Colab - Experience in various data loading techniques - Strong ability to perform exploratory analysis - Expertise in handling missing data - Mastery in developing insightful visualizations - Knowledge of diverse data types (just in case we venture into textual or image data) - Ability to identify patterns, make predictions and support data-led decision making My ideal candidate has done similar work before with a large dataset. Please provide your previous expe...
Project Description: We are seeking a skilled developer to assist in deploying and testing a Python script on Google Colab that automates the translation of text files from English to Chinese. The script will need to handle multiple text files organized within different folders, translating each file's contents and saving the translated versions in corresponding folders while maintaining the original directory structure. Key Project Requirements: Script Development: Develop a Python script that can: Upload multiple English text files (.txt format) organized in different folders to Google Colab. Translate the content of each text file from English to Chinese using the OpenAI API. Save the translated text files in their corresponding folders with the same directory str...
As a Python specialist, your mission involves enhancing an existing Llama2 program to operate on Excel files within Google Colab. This project requires just a few hours of work, and a bit of the code is already completed. Key Tasks: - Implement Llama2 for data cleaning operations. Specifically, your role will include: - Applying given formulas to data - Sorting and filtering data according to set parameters Skills and Experience: - Proficient in Python programming language - Familiar with Llama2 - Experience working with Excel file manipulation in Google Colab is advantageous.
...me and build up my skills. Your expertise should include but not limited to: * Python programming (v3.6+). * Usage and practical knowledge of Google Colab and Jupyter notebooks. * Application of data processing and visualization tools such as Pandas, Matplotlib, and SciKit-Learn. These elements form the core of my learning goals. Having a hands-on understanding of these areas is important for the task at hand. Experience in imparting knowledge or tutoring is much appreciated, as your role would be significantly educational. Deliverables: Google Colab and Jupyter Notebooks: Familiarity with signing up for, accessing, and using Google Colab to open and work with Jupyter notebooks. Python Programming: Proficiency in Python (version 3.6 or above) for data manipulati...
...Additive exPlanations) analysis on a unique dataset. My project revolves around audio data, specifically speech recordings, and I require insightful explanations behind model predictions. **Ideal Skills and Experience:** - Proficiency in Python - Experience with Google Colab - Knowledge in audio data processing - Familiarity with SHAP library or similar interpretability frameworks - Background in data science, especially with a focus on audio analysis **Project Requirements:** 1. Develop a Python code to run in Google Colab. 2. The code should be capable of applying SHAP analysis to audio data, emphasizing speech recordings. 3. Provide a clear explanation of the model's predictions, highlighting the importance of features in the context of speech recordings. 4. Expe...
I would like a Python script to run on Colab that retrieves: 1. Information about games from the following leagues: England (Premier League, Championship), France (Ligue 1, Ligue 2), Germany (Bundesliga, Bundesliga 2), Italy (Serie A, Serie B), Spain (La Liga, La Liga 2). 2. The information needed is for the past season (2022-2023) and the current season (2023-2024), as well as games scheduled for today and tomorrow. 3. The dataframe should contain the following columns: season, date, country, league, home_team, away_team, home_goals (FT), away_goals (FT), home_goals (HT), away_goals (HT), home_odds, draw_odds, away_odds (FT and HT), odds_O0.5, odds_U0.5, odds_O1.5, odds_U1.5, odds_O2.5, odds_U2.5 (FT and HT), BTTS (FT and HT), AH (FT and HT). 4. Odds from Bookmakers (Pinnacle, Betf...
The task? To extract and clean the PyPortfolioOpt library. You've got to remove classes and distill the features in question to simple, functions – using only Python and numpy. However, cvxpy can remain throughout the process. What to deliver: A colab notebook prooving how you code (as short as possible) results in the same answer as the following code: ef = EfficientFrontier(Means, Cov_Matrix, weight_bounds=(0, 0.1)) weights = ef.max_sharpe() source codes:
I am looking for someone who can build me machine learning model where user will give image input and that image have to be changed. I am attaching two referal links below check it out and if you know you can help me then let me know. https://colab.research.google.com/github/styler00dollar/Colab-dreampower/blob/master/Colab-Dream.ipynb#scrollTo=keg_yW18PEOd (PepeNude%2C_DreamTime)
I need you to choose any two distinct objects of your choice Collect at least ten photos of each object The classifier would go over each image and draw a frame around the object present in the image and then write the correct label on it It would do this for all of the collected photos Check the attached photo, I just want the collected images to ha...Collect at least ten photos of each object The classifier would go over each image and draw a frame around the object present in the image and then write the correct label on it It would do this for all of the collected photos Check the attached photo, I just want the collected images to have only one unique object in it and draw single frame and label it The python code should be in google colab I do not want somethin...
I'm looking for an expert to Add a specific code of ROC and AUC using Python (Pytorch) in Google Colab. My code is a multiclass classification for the histological images. The output must be structured into a comprehensive report print the plot of ROC and AUC for each class and the macro average then save it directly. **Requirements:** - Add the specific code of ROC and AUC ''I will send this code'' and run it in my code - Print the results of ROC and AUC with the class name, must include the percentages and plot for each class and the ''macro'' average for all classes - Save the results in the google drive directly **Ideal Freelancer:** - Proven Python & PyTorch expertise - Good understanding of data privacy for medical data T...
...diffusion model re-training. I have a job that involves updating a colab script, the end goal being to re-train a stable diffusion model with faces from different folders. The folder name needs to be the image instance name so that we can call it in the text prompt of Automatic1111. The checkpoint needs to be saved as safetensor. Ideal candidates should have: - Experience with collab scripts - Understanding of handling stable diffusion models - Proficiency in Python - Having Automatic1111 installed and use it. Your main deliverable will be a fully functioning colab script. If you have worked on similar projects before and have a deep understanding of how stable diffusion re-training work, then you are the person I am looking for. Colab Script:
I am looking to have a state-of-the-art science website designed. The platform should be equipped with a number of advanced features, specifically: 1. AI Integration: The website needs to integrate with following AI tools: - ChatGPT - Bard - Google Colab 2. YouTube Integration: I want to utilize the YouTube feature on my Science website for curating educational science content, in addition to the previously mentioned AI integrations. 3. Query Generation: I want a feature that will allow users to generate queries. This should be based on user input to provide a personalized and interactive user experience. Freelancers with a background in web development, AI integration, and a keen eye for user experience are ideal. Previous experience in educational and/or science...
I'm seeking an expert in Python and machine learning, particularly familiar with stable diffusion models. The task is to move a stable diffusion colab script to a local Python execution environment in windows. The script’s main function is for training a machine learning model. Ideal candidates should have: - Proficiency in Python - Understanding of handling stable diffusion models - Experience with collab scripts Your main deliverable will be a fully functioning Python script that can be run locally, paralleling the functionalities of the original collab script. Colab Script: Video Guide on how to use this script: You must have a GPU
I'm seeking a developer to build a specialized web panel solely for administrators that streamlines the process of uploading audio files and generating trained voice models . And saved so next time from list it will be used for later to create audio files from text. Key ...these audio inputs. - Secure administrator-only access controls. - Scalability for potential future enhancements. Ideal qualifications: - Proficient in web development frameworks suitable for this task. - Experience with machine learning libraries or APIs, specifically for voice generation or related tasks. - Strong understanding of audio file manipulation and storage. - Familiarity with Google Colab or similar collaborative platforms. Quick and reliable performance, with a clean and user-friendly design...
1. Develop a system that can read and understand handwritten text using Python and OpenCV. Use the provided GitHub link to download...provided GitHub link to download the dataset of handwritten text. Dataset: Submit the Google Colab link Your answer Handwritten Text Analyzer Accuracy Your answer 2. Develop a system that can recognize and classify human emotions based on facial expressions using Python and OpenCV. Use the provided GitHub link to download the dataset of Facial Emotion. Dataset: Submit the Google Colab link Your answer Facial Emotion Recognition Accuracy Your answer
Machine Learning Course Creation (Good Quality Video content) Specific areas to be covered within the course include: - Goggle colab skills, Good video content making skills. - ML Libraries(Numpy, Pandas, Matplotlib...) - Data Preprocessing techniques - Supervised Algorithms(5) - Unsupervised Algorithms(5) Our prospects will primarily be Python users, hence we'd appreciate an instructor who's proficient in this programming language. The candidate must have previous experience creating educational content and should be able to present complex concepts in an easy-to-understand manner to foster effective learning.
I’m in need of assistance to set up my own Real-time Object Oriented Programming (ROOP) system or something similar on Google Colab (open to other suggestions - must be free) for processing videos that are (NSFW). This would require the ability to handle face images and MP4 videos as the input, with the outcome being a face-swapped video. Here is an existing git that is doing it: It would be ideal if you have experience in configuring HuggingFace or similar files in folders, as the end goal is to have ZERO Censor for the videos and preferably fast processing. Despite the preference for Google Colab, I would also appreciate it if you possess the know-how to work on other cloud-based services. While I do not have a specific library or framework for
I need you to implement a multimodal machine translation(Using image to improve the translation quality) task using the Bridgetower vision language model, accessible at and a paragraph containing multiple sentences and its corresponding image as input. Fuse these inputs using the Calixto Multimodal NMT model, found at Additionally, for English to Hindi translation, leverage the MBart model at Ensure that the entire code is executed within a Google Colab environment, with a primary focus on fine-tuning the Bridgetower model for Multimodal Machine Translation (MMT) tasks.
I need a skilled freelancer to tackle a specific issue I'm encountering with my autoencoder model in python on the Colab platform. **My Requirements:** - Diagnose and resolve training issues. - Experience with large image data handling. **Skills and Experience Needed:** - Proficiency in Machine Learning and Neural Networks. - Hands-on experience with autoencoders, particularly with image data. - Familiarity with the Colab environment. - Strong problem-solving and analytical skills. The ideal candidate should clearly understand the typical challenges faced while dealing with autoencoders and have a proven record of fixing similar issues. If you have worked on similar tasks and have a knack for ironing out computational wrinkles, I would love to work with you.
I need a skilled freelancer to tackle a specific issue I'm encountering with my autoencoder model in python on the Colab platform. **My Requirements:** - Diagnose and resolve training issues. - Experience with large image data handling. **Skills and Experience Needed:** - Proficiency in Machine Learning and Neural Networks. - Hands-on experience with autoencoders, particularly with image data. - Familiarity with the Colab environment. - Strong problem-solving and analytical skills. The ideal candidate should clearly understand the typical challenges faced while dealing with autoencoders and have a proven record of fixing similar issues. If you have worked on similar tasks and have a knack for ironing out computational wrinkles, I would love to work with you.
I am looking for a skilled Python developer who has experience with Google Colab. You should configure this project (transcription with speaker identification) for fail-safe use: I want to be able to upload a file, press play and have the transcript saved. This project should be quite easy, as you do not have to write code, just configure everything and handle possible errors.
...learning. The goal is to refine and finalize a set of existing Python codes developed in Google Colab. These codes are focused on image classification tasks and need to effectively handle standard photograph formats such as JPEG and PNG. * Your 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 expertis...
I need a skilled freelancer to tackle a specific issue I'm encountering with my autoencoder model in python on the Colab platform. **My Requirements:** - Diagnose and resolve training issues. - Experience with large image data handling. **Skills and Experience Needed:** - Proficiency in Machine Learning and Neural Networks. - Hands-on experience with autoencoders, particularly with image data. - Familiarity with the Colab environment. - Strong problem-solving and analytical skills. The ideal candidate should clearly understand the typical challenges faced while dealing with autoencoders and have a proven record of fixing similar issues. If you have worked on similar tasks and have a knack for ironing out computational wrinkles, I would love to work with you.
...Pix2Pix image to image translation source written with TensorFlow 1.15 on Google Colab with Python 3.7. The purpose of this project is to generate target images using an input image and a trained model. The desired outcome of running the Pix2Pix code is for learning purposes. I have already tried running tried downgrading Python to version 2.7 on a Google Colab notebook but unfortunately this way the GPU was not utilized. I have provided a link to this notebook at the end of the description. What I need from the dear freelancer at the end of the project is just one of these items (priority is more with number 1 and it continues in the same order): 1. Install Python version 3.7 and TensorFlow 1.15 on Google Colab and run the source code utilizing the GPU without ...
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.
This project is about applying text to video or text to sequence of images generation using stable diffusion model. Requirements: 1) Dataset should contain videos and associated prompts or set of image sequences with an associated prompt for each set. (You can choose any suitable dataset for you ) 2) apply stable diffusion model for text to video generation and ...of image sequences with an associated prompt for each set. (You can choose any suitable dataset for you ) 2) apply stable diffusion model for text to video generation and should have configureable hyper parameter (it should be easy to modify ) 3) use of evaluation metrics for the generated images/videos and training phase Notes: Code should be clear and easy to understand Code should run on colab pro (subscription versi...
I need a seasoned Python programmer with a deep understanding of neural networks to construct a project for me. I have a project as a guideline but I need something better that can recognise at least 90% of the emotions. I can trans...human face is recognized, the neural network would be required to detect specific facial features of the emotion The ideal freelancer for this job should have: - Proficiency in Python - Prior experience with neural networks - Understanding of image recognition systems - Experience in facial feature detection algorithms. - Work in Spyder or at least give the project in python format NOT google colab This project requires a highly detailed and accurate system, the freelancer should be ready to undertake ample testing and adjustments to achieve optima...
...incoming images, thereby significantly improving the model’s accuracy. The upscaling solution must integrate seamlessly with my current model on Google Colab, and should utilize the latest advancements in deep learning tailored for image super-resolution tasks. The expected deliverable is robust, well-documented code in a Colab notebook that is fully functional and ready to be tested against a validation dataset. Key Requirements: -Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch) -Proven track record with image processing and super-resolution techniques -Ability to work within the Google Colab environment leveraging its GPU capabilities -Commitment to delivering clean, efficient, and scalable code -Strong commun...
I am looking for a machine learning expert to help me with an image recognition project. I have a dataset in CSV format that I would like to use for this project. The ideal candidate should have experience in image recognition and be proficient in working with CSV datasets. Especially Single Shot Detector and Faster RCNN algorithms needed. Google colab and local machine trainings should be done. I have the dataset VOC, yolo format and XML type. I can provide a dataset compatible with my data set.
Create Proof of Concept Llama 2, 7B, 13B, 70B with Python locally, Colab. Preferred who have already done it and can quickly deliver. Price is fixed.
I'm on the lookout for someone to aid in transferring my image and video manipulation Python script from Google Colab to another platform. Additionally, there might be a need to tweak or optimize the script for improved performance. If you're adept in this domain and ready to tackle this challenge, let's get in touch.
