Machine Learning (ML) Jobs

The main challenge is to implement a linear speed up

The project targets at development of a Fraud Detection model through which the digital data acquired through an ecommerce platform can be used to suspect a user as fraud in real time. Qualifications: 1. 3+ years of experience in ML 2. Proficient in Python, Pandas, ML Frameworks, Deep Learning 3. Able to work and coordinate with the project team Responsibilities: 1. Work in coordination with the project team 2. EDA for various types of data 3. Development of ML model

I'm looking for a python expert who can run docker compose v 2.5 or greater on their computer. we need to find high correlations between two 4-6 month time sereies samples aggregated from all stocks in time in the s&p 500 I represent a data science company and can provide you a few contracts. please select a time here please have these answers during interview 1. are you quick with docker-compose and docker? 2. are you quick with python libraries such as pandas 3. do you python asynchronous or multiprocessing to speed up a thorough ranking analysis 4. what type of table do you need to find an aggregate correlation coefficient sum for a time in s&p so that we find the highest correlation between today and another bear market 5. learn this first 6. do you know git and...

Main Task - Image Reconstruction 1. Custom image Dataset must be loaded from the local drive. As of now you can load your own dataset. 2. Image Augmentation have to be included Important: There should not be any restriction on the dimensions of the image. It will work with all the image dimensions Step 1: 3. The various types of Autoencoder techniques and GAN must compared with and without hyper parameter tuning, Ensembling methods with various performance metrics. 4. There is an option to mention and control the types of noises with the range 5. The reconstructed results will be checked with the bunch of images or else the single image with similarity score with the input image.

It is a small NLP pipeline that was already mounted and explored.

Create parallel implementation of A* algorithm

I already have a model that is built using TensorFlow Decision Forests. I have to convert some of the preprocessing steps from pandas to tensorflow. And model building steps. Bid only if you have experience in tensorflow and is available to do it right now.

The developer must have good experience in Machine learning and Python as well as app development. Thanks.

risk prediction machine learning for stock markets with different factors to be calculated

pre process of image and detection of image

A drawing application allows the user to draw on a screen by: 1) tracking the movements of hand and fingers. 2) drawing with objects. The object is the drawing tool. The object is the brush

I need a python expert who can handle my project.

I need the Computer Vision and Deep Learning coder for multiple jobs.

A drawing application allows the user to draw on a screen by: 1 – tracking the movements of hand and fingers. 2- Drawing with objects. The object is the drawing tool. The object is the brush

Hi. Can you build poker ai bot. You need build NLH AI bot and it should provide an api for betting. This is machine learning poker ai bot source code. You can use this one or not. Anyway you need to do those 2 things. 1. build poker AI bot with python or node or others. 2. the bot service should provide an api for betting on based current situation. For the api: input data will be the information of current situation when the bot has turn. hands, betting amount, pot, public cards, game state(freflop, flop, turn, river) and etc. the output data should be the betting amount, [may be added betting action(check, call, fold, raise, allin, bet)] If you can do this in 2 or 3 days, It will be good for me. Please don't worry about the money, I can pay as you want. Thanks.

We would like to hear the opinions of machine learning practitioners on machine learning experiment management tools. Experiment management tools support practitioners performing machine learning (ML) or deep learning (DL) experiments to manage all involved artifacts and metadata (datasets, features, scripts, hyperparameters, evaluation metrics, models, …). Such tools are used to reproduce or trace experiments, analyze experiment results, and collaborate with other practitioners. Popular tools are, for instance, , DVC, or MLFlow. These tools allow users to track or log artifacts when performing experiment runs. Completing the survey takes approximately 10 minutes for each ML practitioner.

Here is a summary of the kind of work you will be tasked with: 1. Machine Learning a. Build an ongoing understanding of current state-of-the-art NLU architectures, methods, and processes, and innovate networks that create actionable intelligence from text. b. Understand different media types (images, audio, video, etc.) and build networks that extract information and meaning from these media. c. Create networks that curate (and/or generate) media (text today, everything else tomorrow). Understand the problems that go into building these networks and innovate solutions to mitigate these problems. d. Understand patterns in time-series (and other) data, and create networks that evolve as these patterns do, using SOTA reinforcement learning techniques, Bayesian networks, and other methods. e. ...

This is a small project, I have a couple of videos to test using a datasets which I'm not very familiar, each video is about 1-7 min long, I need your help with running these video in this datasets and screen recording the running process. here is the datasets: here's the paper about this datasets:

I need the Deep learning Coder...... for multiple jobs. Details will be discussed.

I have to build an energy system model using python programming and PyPSA it is a python for power system analysis toolbox. Here is the PyPSA documentation - I will also share the base model from which we can take reference to build the model

Clustering observations based on K means- R studio

I am new to Mlops and data science area, need someone who experts in this area and help me to understand and explain, build Mlops tools and some capstone project.

See this website: I would like someone to help me set up a similar workflow on my computer. You will remote in to my PC and show me how to run the code and successfully extract text from PDF files.

I need face dataset from CCTV on 100k subject face dataset should be none-open dataset and get from cctv. And dataset should be collected from 100K people and have more that 15 images on every people start to place a bid with "##"

Request proposals from Map based Web Portal / Mobile App developers preferably from Chennai. The project targets at development of a Web Portal/Mobile App through which the digital data acquired through drones can be immediately uploaded to the platform that can be always accessed on any handheld cross platform (Windows/Android) system through a web browser to be developed. The project aims at development of: 1. A Map based portal/app to view transport route as vector maps, images overlapped and google street map satellite imagery layer as a background. 2. Add features like stoppings, junctions, bridges etc. 3. Visualize the above features in images 4. Provision to inspect images and add comments in the portal. 5. Multiple user access and submit jobs. 6. Dashboard to visualise progress, t...

Need someone who can wwrite program for given case and also need to write reflection based on the performance done for programming.

I have a video need to test if there're any manipulation made using FaceForensics++,video is about 6 min long, you are required to provide screen recording of the WHOLE running process (from you get access of the video to process the video if necessary, to upload the video into the datasets to get the results). Thank you

Need help on Python project for retention policy on JFrog Artifactory

Need urgent help with a small project about breast cancer prediction using the weka tool.

We have an amazing intern opportunity at a fast-growing start up, it would require Machine Learning skills to create a pre-trained model

There is a code written in TensorFlow 1 for developing a deep learning model. I want to convert the code to TensorFlow 2. The new code should: 1. Train the model as fast as the original code (This is the crucial condition about this project) 2. Generate exactly the same quality of results as the original code (with the same dataset that is used for the original code) 3. Be like it is genuinely written in TensorFlow 2 and not only TensorFlow 2 compatible. This is the original code: At the end of the project I will assess the speed of the new code, the performance of the model training process and output of the code. Thanks!

The main task is to try to write a script to segment the cycling lane under different lighting conditions (including shadows) to use the segmented path to control the robot motor. The segmentation should be done by canny edge detection segmentation or colour segmentation. Another option would be using light CNN that can be implemented in the raspberry pi 4 to segment the lane. The script should be in python language. An example of the expected results is given below. The script should work on live streams and pre-recorded videos. An important point is to explain how the script is going to deal with conditions such as shadows and bright light. finally, explain what will be the plan or idea to control the motor based on the segmented lane. A video of the cycling lane will be sent later due ...

Omicron variant sentiment analysis using NLP technique

So as we all know, Japan has 1 vending machine for every 23 people. That means you will have tons of different combinations of drinks available. What I want to do is train some AI to recognize the drinks in photos of the vending machine (example of image in attachments). All you have to do is do the recognition part, and label them at which position they are on the drink (left to right, top to bottom, 1-20/30, etc). So item 1 would be the first one in the top left, you can call it "Drink A" and I'll update the label later with the correct Japanese language/English. I prefer this to be built in Python, since it will be used on a website's framework

Need your expert help for the following challenge I have a Data digitisation project in hand in which we need to extract data from pre filled forms ( hindi handwritten) and populate in our data entry software Even if we can extract ( Hindi ICR ) from these forms and put in CSV format - my team can manage to transport the same to the data entry software. Google docs is very good with Hindi ICR ( Intelligent Character recognition) We need you to create boundary for data extraction from the form for all required fields then extract the data and then provide the same in CSV format Second optional activity is to then pick the data from the cvs and autopopulate in the data entry software Currently we are manually doing data entry in the data entry software which is extremely slow and pro...

FinRL is an open-source framework to help practitioners establish the development pipeline of trading strategies based on deep reinforcement learning (DRL).

Using spaCy extract the suggested Product Names in a sentence with the product description, and use statistics to assign the value with highest confidence level MUST HAVE experience at least with: spaCy, NLP, statistical analysis, ML

I am starting out in data science and machine learning be I have a few questions that will help me progress in my own projects. I want to develop model that recognises certain stock chart patterns like a triangle, bullish/bearish flag etc. What I am looking for at the moment is not someone who will deliver a complete project but I need consultancy where people can answer some of the questions I have that is why I want to pay hourly. What I am struggling with at the moment is preparing the complete dataset for machine learning. I have a collection of many samples of the chart pattern (some are attached) But I don’t know how to compile the master dataset with a large set of stocks each having a varying amount of time periods showing open, high , low, close and volume. To make sure ...

Implement space carving technique to construct shape of 3 d object

make deep neural network for regression supervised problem

Looking for phD scholar (prefer IITan) who is currently in deep learning/machine learning field.

Voxel ccarving, find pose estimation of camera pose

Build a time series regime shift model using log-normal generation data for 1 year daily data.

We need professional solidity developers who work in our project , our project have to need new solidity developers for better chain and better utilities

I want the attached optimization problem to be solved in Python IBM Cplex and the output should be ipynb file. I need this in 24 hrs.

you need to decode file and find the code written there,

We are a new interdisciplinary studio that thinks in threes: Live Action, Mixed-Media, and Animation. We are still pre-launch (website still being developed.) We're looking for someone to help develop an AI from the ground up for qualitative analysis of videos to help inform our creative strategies before we head into a production. The duration of this position is as needed with the possibility of a full time position down the line. If you are looking for an opportunity to join an exciting new venture at the ground level, please apply today! Responsibilities: - Individual must have existing competencies in AI/ML - Have the analytical capabilities of a data scientist, and understand the latest developments in AI/ML. -Will be responsible for designing and developing AI models - Conve...

Hello, I want to implement a major pipeline. I would like this to be implemented. I have also attached the paper of this implementation. I would to have Audio (from laptop microphone) to a text to speech program (any good text to speech program will do) and then to the meshtalk in REAL TIME (I want to talk into my microphone and have a model blue man like in the paper emulate it in real time). I would like that to be implemented, and I would also like the same thing implemented but using an automatic speech recognition software, so this would be audio (from laptop microphone) to text to speech to automatic speech recognition program to meshtalk in real time or vice versa, and I would like to see this implemented. I would like to know step-by-step how to do it (on your end, what I need to ...

This assignment covers linear regression and logistic regression using disciminative meth- ods. 1 The Iris Dataset The Iris flower data set () was orga- nized by Ronald Fisher in 1936. It is a commonly used dataset for introductory machine learning concepts. You will use this dataset for use with a classification AND regression task. 1.1 Preparing the Data To begin, load the data using scikit-learn. As we saw during class, the setosa samples are very clearly linearly separable given any combination of two features. However, the versicolor and virginica usually have some overlap. In order to verify the models that you will create in the following two sections, you will need to take some portion of the dataset and reserve it for testing. Randomly select 10% of the dataset, ensuring an eve...

I have started some code for tensor flow and need someone with experience to make some changes so it can run properly. Includes testing the model and then more to be built. Quick job initially.