Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Pre-trained models and utilities for deep learning on medical images in Python (Keras/TensorFlow)
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
An on-going paper list on new trends in 3D vision with deep learning
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
A modern deep learning framework built to accelerate research and development of AI systems
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
Summary of open source code for deep learning models in the field of traffic prediction
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
A toolkit to learn how to model and interpret regulatory sequence data using deep learning.
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
OSS library that implements deep learning methods for partial differential equations and much more
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.
Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥
A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:
Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
24,540 repositories in the index in total.
