Stars
Collection of publicly available IPTV channels from all over the world
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
The world's simplest facial recognition api for Python and the command line
No fortress, purely open ground. OpenManus is Coming.
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Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Google Research
Free ChatGPT&DeepSeek API Key，免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API，支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Fast and memory-efficient exact attention
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
verl: Volcano Engine Reinforcement Learning for LLMs
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
✨✨Latest Advances on Multimodal Large Language Models
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Knowledge Engine for AI Agent Memory in 6 lines of code
High-Resolution Image Synthesis with Latent Diffusion Models
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
The official GitHub page for the survey paper "A Survey of Large Language Models".