Integrate fairness into machine learning pipelines with FairWell: a highly accessible & user-friendly tool
Pytorch powered convolutional neural networks that monitor a driver alertness, emotional state and blind spots through an embedded device and cameras.
RaNNC is a middleware to automate hybrid model/data parallelism for training very large-scale neural networks. You can train 100 billion parameter models without any manual tuning.
Agriculture that Works for Future
This library is testing the ethics of language models by using natural adversarial texts. This tool allows for short and simple code and validation with little effort. Easy installation with pip.
Just like scipy but differentiable! xitorch provides functional routines (e.g. rootfinder, optimization, ODE solver) with first and higher order gradients
Don't be a victim of phishing attacks!
Bring real-life gestures to your video calls with heyoh virtual camera
torch_liberator.load_partial_state automates model surgery. It finds the maximum correspondence between weights in two networks.
Greenops helps to measure the footprints of deep learning models at training, testing and evaluating to reduce energy consumption and carbon footprints.
Mamma AI is AI based tools that aims to make doctors' work easier and cancer treatment much more safer.
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Manage your entire PyTorch work flow with a single python abstraction and a beautiful functional API. No more complex configuration or juggling preprocessing, postprocessing and forward passes.
PyTree, a PyTorch package for recursive neural networks.
Indic language processing library, is an effort to make it easy for developers and researchers to build fascinating applications and models in Indian Languages, thus making NLP a more diverse field.
An open-source, explainable AI toolkit for visual saliency algorithm interfaces and implementations, built for analytic and autonomy applications.
Open Source Photos Platform Powered by PyTorch
PyTorch - Driving Discovery with Responsible Artificial Intelligence
This project leverages deep learning for doing MRI-Image Synthesis and generating segmented images to help doctors in studying MRI Brain Scans.
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A PyTorch-powered web app with one customizable model.
Cultivate and grow datasets using lively games.
Input: 1.trained computer vision classification network 2.Size Reduction factor Output: faster, lighter version of the input network, trained with knowledge distillation technique.
Rouser is a simple desktop app to keep you stay awake while working from home.
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