Yangzhangcst/Transformer-in-Computer-Vision

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Port of OpenAI's Whisper model in C/C++

Port of OpenAI's Whisper model in C/C++

OpenMMLab Detection Toolbox and Benchmark

SOTA Open Source TTS

SGLang is a high-performance serving framework for large language models and multimodal models.

Fully automatic censorship removal for language models

Faster Whisper transcription with CTranslate2

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

CVPR 2026 论文和开源项目合集