Microsoft Authentication Library (MSAL) for .NET
wam 开源项目推荐(133 个)
wam 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 133 个仓库A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.
🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
EVA客户端:用于真实机器人部署、评估和数据收集的统一框架
Unified World Model Inference & Evaluation Infrastructure
CLI for Physical AI Specialization
An embodied task agent that connects perception, action, verification, and learning in a continuous physical-world loop
Curated quantization research for VLA & WAM models — 180+ papers, a five-category taxonomy, a roadmap, and a companion PTQ + LIBERO toolkit (quant-vla).
Template to build an iPlug2 project with CI/CD and publish a WAM to github pages
PhyAI is a high-performance framework for running Physical AI models (VLA, WAM, and beyond), supporting both cloud-based serving and on-device deployment.
Official Implementation of "WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN"
Prolog implementation based on Warren's abstract machine
Action Chunking Engineering — 可调、可视的动作分块论文交互工作台。
Gradual WAM implementation using Hassan Aït-Kaci's tutorial reconstruction
multi-robot serving engine for cloud robot foundation models
VLA/WAM/RLFT/RLHF/FoundationModels/DailyLLM/AgenticToolkit
A simple compiler from Prolog to WAM (Warren Abstract Machine) and a runtime for WAM.
yoshimi soft synth for web browsers
🌍 World Action Model · 2026 categorized index — 200+ papers (Cascaded/Joint WAM + Simulator + Video WM), synthesized from 4 surveys + 7 awesome lists
Implementation of Prolog
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/wam。
- 该话题在 GitHub 上共有 133 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4868 Star,覆盖 9 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。