cyanzdg

pyright

Static Type Checker for Python

Bear

Bear is a tool that generates a compilation database for clang tooling.

openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

Megatron-LM

Ongoing research training transformer models at scale

LargeBatchCTR

Large batch training of CTR models based on DeepCTR with CowClip.

onnx

Open standard for machine learning interoperability

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

netron

Visualizer for neural network, deep learning and machine learning models

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

cs-video-courses

List of Computer Science courses with video lectures.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

MockingBird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

stable-diffusion-webui

Stable Diffusion web UI

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

tensorrec

A TensorFlow recommendation algorithm and framework in Python.

autogluon

Fast and Accurate ML in 3 Lines of Code

DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

CudaSteps

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

boost

Super-project for modularized Boost

Cpp-Primer

C++ Primer (5th Edition) Answers

CUDA_Freshman

TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

TurboTransformers

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

FasterTransformer

Transformer related optimization, including BERT, GPT