AI open source rankings.

猫狗大战

Free, open-source alternative to Weavy AI, Krea Nodes, Freepik Spaces & FloraFauna AI — node-based AI workflow builder for generative image & video pipelines

We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task. “表格+LLM”相关论文整理

Ray tutorials from Anyscale

Make your computer a home for your AI partner. Avibe is the local-first Agent OS: Vibey, its built-in AI partner, works out of the box, and Claude Code, Codex & OpenCode run unchanged beside it — reach them from your browser, phone, or any chat app.

A collection of multi agent environments based on OpenAI gym.

Open-source WhatsApp + Instagram + TikTok Business platform

Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

一个计算机视觉、机器学习与深度学习相关的项目，看课程的笔记还有自己做的程序

Large model-assisted paper review

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

YOLO v3 物体检测算法

An experimental platform for federated learning.

C inference for Qwen3-ASR 0.6b and 1.7b transcriptions models

Transformer Tracking (CVPR2021)

Community fetch recipes for bb-browser — pre-built adapters for Reddit, Twitter, GitHub, and more

face-to-sticker

Natural language browser automation

kubectl for AI Agents

An enhanced Wan2.2 Image-to-Video node specifically designed to fix the slow-motion issue in 4-step LoRAs (like lightx2v).

Embedded agents your customers use to automate work, build views, and connect their tools.

Microsoft Automatic Mixed Precision Library

[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

By a 12-year product manager who builds 0-to-1: takes a beginner from a vague idea to a buildable plan, then guides the build (GitHub basics, clean-code habits, a verify-and-iterate loop, a checkup for the mess). For Claude Code, Codex, and Antigravity. grill-me is for engineers, vibe-check is for everyone else.