Flames1217/LOL-DeepWinPredictor
基于双向双层、引入注意力机制的LSTM对英雄联盟比赛胜率进行预测。
GitHub repository with 15 stars and 9 forks.
Language: TypeScript
Topics: attention-mechanism, crawler-python, deep-learning, flask, lol, lstm, mongodb, prediction, python, rocketmq
基于双向双层、引入注意力机制的LSTM对英雄联盟比赛胜率进行预测。
GitHub repository with 15 stars and 9 forks.
Language: TypeScript
Topics: attention-mechanism, crawler-python, deep-learning, flask, lol, lstm, mongodb, prediction, python, rocketmq
2026-06-05: 15 stars and 9 forks.
🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design Systems 🖼️ Web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Claude Code / OpenClaw / Codex / Cursor / OpenCode / Qwen / Copilot / Hermes / Kimi & 17+ CLIs.
GitHub repository with 59,059 stars and 6,643 forks.
Trending score: 5.98; stars gained: +1,178; forks gained: +117.
Language: TypeScript
Topics: agent-skills, ai-agents, ai-design, byok, claude-code-for-design, claude-design
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
GitHub repository with 41,316 stars and 2,557 forks.
Trending score: 5.83; stars gained: +2,953; forks gained: +188.
Language: TypeScript
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
GitHub repository with 10,606 stars and 885 forks.
Trending score: 4.82; stars gained: +560; forks gained: +62.
Language: TypeScript
Topics: ai-agent, ai-coding-agent, anthropic, bun, claude, cli
The API to search, scrape, and interact with the web at scale. 🔥
GitHub repository with 128,792 stars and 7,668 forks.
Trending score: 4.80; stars gained: +954; forks gained: +49.
Language: TypeScript
Topics: ai, crawler, markdown, scraper, html-to-markdown, llm
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 57,929 stars and 6,621 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
Write HTML. Render video. Built for agents.
GitHub repository with 24,458 stars and 2,274 forks.
Trending score: 4.72; stars gained: +732; forks gained: +60.
Language: TypeScript
Topics: ai, animation, ffmpeg, framework, gsap, html
A concise but complete full-attention transformer with a set of promising experimental features from various papers
GitHub repository with 5,887 stars and 510 forks.
Trending score: 0.68; stars gained: +2; forks gained: +0.
Language: Python
Topics: artificial-intelligence, deep-learning, attention-mechanism, transformers
邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版
GitHub repository with 18,809 stars and 3,667 forks.
Trending score: 0.29; stars gained: +0; forks gained: +1.
Topics: attention-mechanism, chinese, deep-learning, machine-learning, neural-networks, textbook
📝 Streamline text processing in Arabic and English with ChunkWise, a library offering 31 chunking strategies for NLP and RAG systems.
GitHub repository with 5 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: aggregation, attention-mechanism, chunk, chunkwise-processing, csv, data-analysis
From-scratch reimplementation of DeepSeek's Native Sparse Attention (arXiv:2502.11089) in Triton + CUDA Hopper WGMMA. 7.4x faster than FlashAttention-3 at 64k context. Five-model training fleet, perplexity sweep, LongBench v2, MoBA comparison.
GitHub repository with 6 stars and 0 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Python
Topics: attention-mechanism, cuda, deepseek, flash-attention, gpu-kernels, hopper