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Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A lightweight, powerful framework for multi-agent workflows
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Enjoy the magic of Diffusion models!
AcadHomepage: A Modern and Responsive Academic Personal Homepage
AcadHomepage: A Modern and Responsive Academic Personal Homepage
The official code of Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior
Multi-Objective Reinforcement Learning algorithms implementations.
[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs
From Large Angles to Consistent Faces: Identity-Preserving Video Generation via Mixture of Facial Experts
The official code of FeRA: Frequency–Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning
Multi-objective Gymnasium environments for reinforcement learning
PPT plugin, supports one-click to add image titles, copy and paste positions, one-click image alignment, and one-click to insert Markdown (including bold, hyperlinks, and other inline styles, as we…
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
[NeurIPS 2025] Image editing is worth a single LoRA! 0.1% training data for fantastic image editing! Surpasses GPT-4o in ID persistence~ MoE ckpt released! Only 4GB VRAM is enough to run!
The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.
(Minimalism Style) Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website
Collection of awesome parameter-efficient fine-tuning resources.
Official code repository for Med-CMR : "A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning"