Stars
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
We write your reusable computer vision tools. 💜
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
A Next-Generation Training Engine Built for Ultra-Large MoE Models
A high-throughput and memory-efficient inference and serving engine for LLMs
Toolkit for synthizsing image data from OBJ (CAD) Files
Python package for 3D geometry CAD/BIM/CAM
Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier
Open Source real-time strategy game engine for early Westwood games such as Command & Conquer: Red Alert written in C# using SDL and OpenGL. Runs on Windows, Linux, *BSD and Mac OS X.
Enjoy the magic of Diffusion models!
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 RN…
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution.
RWKV-LM-V7 For AMD ROCm, Forked From (https://github.com/RWKV-Vibe/RWKV-LM-V7)
RWKV-Vibe / rwkv-fla
Forked from fla-org/flash-linear-attentionEfficient implementations of state-of-the-art linear attention models in Pytorch and Triton
MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration in Complex Task Scenarios
Mobile-Agent: The Powerful GUI Agent Family
mcp server for slidev to make web ppt quickly and elegantly
The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.
GitHub 汉化插件,GitHub 中文化界面。 (GitHub Translation To Chinese)
yolo master 本课程主要对yolo系列模型进行介绍,包括各版本模型的结构,进行的改进等,旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络,以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。
《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