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
2,686 results
Notes about courses Dive into Deep Learning by Mu Li
OpenMMLab Pre-training Toolbox and Benchmark
Compute FID scores with PyTorch.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Differentiable architecture search for convolutional and recurrent networks
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Model summary in PyTorch similar to `model.summary()` in Keras
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。
Pytorch 中文文档
PyTorch深度学习快速入门教程（绝对通俗易懂！）
LPIPS metric. pip install lpips
NeuralProphet: A simple forecasting package
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
LLM training code for Databricks foundation models
Noise supression using deep filtering
Lightning fast C++/CUDA neural network framework
A unified, comprehensive and efficient recommendation library
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
The 3rd edition of course.fast.ai
24,523 repositories in the index in total.
