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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🧑🏫 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, ... 🧠
A high-throughput and memory-efficient inference and serving engine for LLMs
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Port of OpenAI's Whisper model in C/C++
OpenMMLab Detection Toolbox and Benchmark
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Faster Whisper transcription with CTranslate2
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Natural Language Processing Tutorial for Deep Learning Researchers
pix2tex: Using a ViT to convert images of equations into LaTeX code.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
SGLang is a fast serving framework for large language models and vision language models.
A powerful HTTP client for Dart and Flutter, which supports global settings, Interceptors, FormData, aborting and canceling a request, files uploading and downloading, requests timeout, custom adapters, etc.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/README.md)
Large Language Model Text Generation Inference
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading