aidos-lab/rings
Relevant Information in Node features and Graph Structure (ICML 2025)
GitHub repository with 5 stars and 1 forks.
Language: Python
Topics: data-centric, evaluation-framework, geometric-deep-learning, graph-learning, icml-2025
Relevant Information in Node features and Graph Structure (ICML 2025)
GitHub repository with 5 stars and 1 forks.
Language: Python
Topics: data-centric, evaluation-framework, geometric-deep-learning, graph-learning, icml-2025
2026-06-05: 5 stars and 1 forks.
Low-code framework for building custom LLMs, neural networks, and other AI models
GitHub repository with 11,708 stars and 1,220 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: Python
Topics: computer-vision, data-centric, data-science, deep, deep-learning, deeplearning
The agent that grows with you
GitHub repository with 181,280 stars and 31,104 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
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 12,882 stars and 829 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,326 stars and 2,249 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
GitHub repository with 40,774 stars and 38,952 forks.
Trending score: 4.88; stars gained: +836; forks gained: +443.
Language: Python
Topics: a-stock, ai-agent, aigc, llm, quant, quantitative-finance
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,196 stars and 525 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
GitHub repository with 6,581 stars and 694 forks.
Trending score: 1.70; stars gained: +5; forks gained: +3.
Language: Rust
Topics: machine-learning, computer-vision, data-format, deep-learning, python, apache-arrow
Low-code framework for building custom LLMs, neural networks, and other AI models
GitHub repository with 11,708 stars and 1,220 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: Python
Topics: computer-vision, data-centric, data-science, deep, deep-learning, deeplearning