GenRec: Generative Recommender Systems with RQ-VAE semantic IDs, Transformer-based retrieval, and LLM integration. Built on PyTorch with distributed training support.
GitHub repository with 99 stars and 9 forks.
Language: Python
Topics: generative-recommenders, recommendation-system, recommender-system, tiger, rqvae
2026-06-08: 99 stars and 9 forks.
Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
GitHub repository with 278 stars and 71 forks.
Trending score: 0.70; stars gained: +1; forks gained: +0.
Language: Python
Topics: generative-recommenders, pytorch, recommender-system, recommenders
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
GitHub repository with 40,614 stars and 3,271 forks.
Trending score: 5.82; stars gained: +1,312; forks gained: +87.
Language: Python
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 24,986 stars and 1,636 forks.
Trending score: 5.73; stars gained: +2,844; forks gained: +202.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Self-hosted AI workspace.
GitHub repository with 69,603 stars and 8,807 forks.
Trending score: 5.70; stars gained: +951; forks gained: +165.
Language: Python
The agent that grows with you
GitHub repository with 192,271 stars and 33,521 forks.
Trending score: 5.48; stars gained: +990; forks gained: +282.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 30,710 stars and 2,535 forks.
Trending score: 5.48; stars gained: +775; forks gained: +54.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
GitHub repository with 66,406 stars and 6,716 forks.
Trending score: 5.25; stars gained: +1,314; forks gained: +109.
Language: Python
Topics: claude-code, graphrag, knowledge-graph, codex, openclaw, skills
Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
GitHub repository with 278 stars and 71 forks.
Trending score: 0.70; stars gained: +1; forks gained: +0.
Language: Python
Topics: generative-recommenders, pytorch, recommender-system, recommenders