End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).

A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Model Compression Toolbox for Large Language Models and Diffusion Models

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

深度学习入门教程, 优秀文章, Deep Learning Tutorial

TensorRT C++ API Tutorial

A Rust crate for cooking up terminal user interfaces (TUIs) 👨‍🍳🐀 https://ratatui.rs

The Elastic stack (ELK) powered by Docker and Compose.

A high-throughput and memory-efficient inference and serving engine for LLMs

OpenMMLab Model Deployment Framework

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

📊 The statistical analysis tool for git repositories

Plain pytorch implementation of LLaMA

Inference code for Llama models

Code and documentation to train Stanford's Alpaca models, and generate the data.

LLaMa/RWKV onnx models, quantization and testcase

Simple, safe way to store and distribute tensors

Stable Diffusion web UI

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

A library for efficient similarity search and clustering of dense vectors.

Enabling PyTorch on XLA Devices (e.g. Google TPU)

View model summaries in PyTorch!

MPI programming lessons in C and executable code examples

WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181/SRT server and client framework based on C++11

Lightweight profiler library for c++

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …