Deep Learning Jobs

i need the computer vision expert for multiple jobs. Details will be shared with winning bidder.

i need the computer vision expert for multiple jobs. Details will be shared with winning bidder.

Hello everyone! I have developed deep learning code, it works properly, but when increased number of clients, and number of rounds etc, to train the model, the code take very long time, I could not finish training. I need someone to help me to finish training of the model . Thanks

Hi I need someone who can help me converting dataset to different dataset. If you are good with point clouds, image processing, OpenCV then its a plus. Need it soon. Cannot pay more than the budget. Its not a big project so dont ask later.

Task is very simple there are two datasets 1. Image 2. Numerical First of all process with keras In addition of process with pytorch Prior experience is required. Document is also needed for your code

I'm looking for an experienced developer to work with our FR engine and develop a new FR Android app. This is not an AI project as we have the FR components ready, however, if you have experience with FR before and OpenCV that could help us. A detailed doc describing the project will be shared after we make contact. Please start your msg with the words "I have experience with both FR and Android!"

I need someone has worked on CapsuleNet very well, and Enhanced it with new ways, with condition he must on time give me the work

We are looking to build a facial recognition shared library. The core library must be written in C++ due to future testing requirements. There will end up being multiple stages for ongoing work.

Want to make project in AI/ML .

Hello Very urgently need a small Python project to be developed under Deep/Machine learning. Please apply ASAP if you can get it started today after hiring. Thanks

Description: I have an image/object recognition task which require to convert image process flow diagrams to sensible texts workflow. The objects would include arrows, connectors and figures, and there would be texts as well. Instructions: Convert the diagram into interpretable texts, taking arrows, connectors and objects into consideration. Some of the texts maybe irrelevant and can be ignored Objective: Able to interpret the diagrams. Not necessary all images need to be interpreted accurately If you are interested, please DM me and I will share with the files that require to work on. Thank you.

Create a web application that can predict height and weight of a person from full body image which in turn calculates the BMI using the predictions. The developer just needs to deploy pretrained models for height and weight which are available on Github and display the predicted height, weight and BMI to a web app.

i need the Python and deep learning coder needed for multiple jobs. Details will be discussed.

i need the Python and deep learning coder needed for multiple jobs. Details will be discussed.

I made an AI Assistant using python. I have automated my laptop using AI.

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

New techniques in Rubix Cube type problems, research based, design. Efficiency studies.

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.

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.

I require a team/developer that has substantial experience with Deep Fake & Voice Cloning I will discuss more about the project on application

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 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

In this we require a project to detect 20-30 different landmarks/labels/tags from image and video of mouth (intra oral picture and video) , and use it to train a model which is able to detect those in images and video. The program is to be linked with mobile application so will require an api for that. The accuracy required will be good (enough sample data will be available). In attached images please see what kind of objects are needed to be detected from images/video.

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.

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.

Cancer detection and classification using ct or pet images

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

Hi, I have been working on a project which is based on unsupervised CNN. Two medical image datasets (CT and DynaCT images) needs to be segmented (Segmentation is already done) and then I've to find the similarity between these newly segmented datasets. It could be using any CNN models or any other techniques but it should be reasonable. I mean the output we are looking for that needs to be reasonable. What I meant by reasonable here? Well, I've worked on the project but unfortunately enough, the output that I got is not quite what I was looking for. I used SSIM technique where I put segmented CT images on X-axis and segmented DynaCT images on the y-axis. Since the two imaging datasets are of same person, so the graph should be a straight line or relatable. I meant to say is, for ...

I have a short video of me, I want to put someones else face onto my face

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!

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

make deep neural network for regression supervised problem

Need your help testing the following 6min video using FaceForensics++, please screen recording the WHOLE process of your running, compare your results with the one in attachment and briefly interpret the your results. Thank you.

Our organization is seeking for a freelancer to work on a deep learning image classification project. The project's goal is to select informative data to train a CNN using semi-supervised active learning. You should be proficient in deep learning, particularly image classification, and have a degree, although a master's or doctorate degree is preferred.

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

(for introductory experiments for students of data science etc.) dynamic spreadsheet with special RESULT column data type synced and cached remote/local data source interfaces (SQLite) math formula composer view (Java-based mini function language) machine learning composer view (deeplearning4j) plot composer view (3D+ plots) It is quite easy work for the skilled coder, but the details surely can be somewhat challenging. You should have the necessary mathematics knowledge to contribute meaningful design details. We can discuss more details later. The most convincing winner bid will be given the opportunity to work on the project regularly - innovative and creative application development ideas beyond the average and 'going the extra mile' will be awarded an extra bonus on top! ...

deep learning, artificial intelligence to recognise voice from 30 seconds of audio and regenerate the same voice, same accent, same pitch and same audio quality to fit into statements in existing audio files. 2 voice samples will be provided. written text must be converted into perfectly same voice and save the file.