transformers

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

LLM KV cache compression made easy

Neural Network Compression Framework for enhanced OpenVINO™ inference

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

明医 (MING)：中文医疗问诊大模型

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Simple go utility to download HuggingFace Models and Datasets

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

From the Tensor to Stable Diffusion, a rough outline for a 10 week course.

[ICLR'24 spotlight] Chinese and English Multimodal Large Model Series (Chat and Paint) | 基于CPM基础模型的中英双语多模态大模型系列

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

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[ICCV 2025] From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

A Framework of Small-scale Large Multimodal Models

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Machine Learning Q and AI book

Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs

Papers about graph transformers.

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

Deep research agent to help you find the best GitHub repositories 🕵️!

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

About This repository is a curated collection of the most exciting and influential CVPR 2025 papers. 🔥 [Paper + Code + Demo]

A minimalist SOTA LaTeX OCR model with only 20M parameters, running in browser. Full training pipeline available for self-reproduction. | 超轻量SOTA LaTeX公式识别模型，仅20M参数量，可在浏览器中运行。训练全流程代码开源，以便自学复现。

🤖 A PyTorch library of curated Transformer models and their composable components

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens"