Lynn 原生 LLM 推理引擎 · W4A8/NVFP4 量化 · 自写 CUDA/Triton kernel · MoE · 投机解码 | Lynn-native LLM inference engine for NVIDIA Blackwell
GitHub repository with 17 stars and 0 forks.
Language: Python
Topics: ai-inference, blackwell, cuda, deep-learning, fp8, gpu, gpu-acceleration, high-performance-computing, inference-engine, llm
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2026-06-05: 17 stars and 0 forks.
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
GitHub repository with 1,347 stars and 187 forks.
Trending score: 0.28; stars gained: +0; forks gained: +0.
Language: Python
Topics: oneapi, scikit-learn, machine-learning-algorithms, data-analysis, machine-learning, python
Lynn 原生 LLM 推理引擎 · W4A8/NVFP4 量化 · 自写 CUDA/Triton kernel · MoE · 投机解码 | Lynn-native LLM inference engine for NVIDIA Blackwell
GitHub repository with 17 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-inference, blackwell, cuda, deep-learning, fp8, gpu
The agent that grows with you
GitHub repository with 181,742 stars and 31,181 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 13,361 stars and 853 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,484 stars and 2,256 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
GitHub repository with 30,029 stars and 4,231 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 4,250 stars and 534 forks.
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Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
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Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
NUMA-distributed weight banking for LLM inference on IBM POWER8. 147 t/s (8.8x stock). Part of the Proof of Physical AI stack.
GitHub repository with 138 stars and 31 forks.
Trending score: 0.56; stars gained: +2; forks gained: +2.
Language: C
Topics: llama-cpp, llm, numa, power8, ai-inference, depin
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
GitHub repository with 1,347 stars and 187 forks.
Trending score: 0.28; stars gained: +0; forks gained: +0.
Language: Python
Topics: oneapi, scikit-learn, machine-learning-algorithms, data-analysis, machine-learning, python
oneAPI Data Analytics Library (oneDAL)
GitHub repository with 648 stars and 225 forks.
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Language: C++
Topics: onedal, data-analysis, oneapi, machine-learning, machine-learning-algorithms, hacktoberfest
Lynn 原生 LLM 推理引擎 · W4A8/NVFP4 量化 · 自写 CUDA/Triton kernel · MoE · 投机解码 | Lynn-native LLM inference engine for NVIDIA Blackwell
GitHub repository with 17 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-inference, blackwell, cuda, deep-learning, fp8, gpu
World's first L1 blockchain with deterministic on-chain AI inference verified through multi-node consensus. Bitwise identical outputs across every chip, every architecture.
GitHub repository with 17 stars and 3 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: Rust
Topics: ai-inference, artificial-intelligence, blockchain, dag-consensus, deterministic, evm