Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
GitHub repository with 1,303 stars and 138 forks.
Language: Python
Topics: blackwell, chatbot, decentralized-inference, deepseek, distributed-systems, glm, kimi, large-language-models, llama, llm
2026-06-05: 1,303 stars and 138 forks.
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 81,978 stars and 17,668 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
TokenSpeed is a speed-of-light LLM inference engine.
GitHub repository with 1,366 stars and 141 forks.
Trending score: 1.86; stars gained: +6; forks gained: +2.
Language: Python
Topics: blackwell, deepseek, gpt-oss, kimi, lightseek, llm
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,888 stars and 6,343 forks.
Trending score: 1.72; stars gained: -55; forks gained: +18.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
GitHub repository with 13,807 stars and 2,440 forks.
Trending score: 1.18; stars gained: +16; forks gained: +7.
Language: Python
Topics: blackwell, cuda, llm-serving, moe, pytorch
cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
GitHub repository with 840 stars and 177 forks.
Trending score: 0.69; stars gained: +4; forks gained: +2.
Language: Python
Topics: attention, blackwell, cuda, cuda-kernels, cuda-toolkit, deep-learning
Nvidia ultimate undervolting companion on Linux. Can automatically scan for the most optimal GPU VF curve and generate silent fan curves. Supports MSI Afterburner profile imports and LACT profile exports.
GitHub repository with 53 stars and 2 forks.
Trending score: 0.13; stars gained: +0; forks gained: +0.
Language: Python
Topics: blackwell, fan-curve, gaming, gpu, linux, nvidia
The agent that grows with you
GitHub repository with 181,472 stars and 31,147 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 12,942 stars and 833 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 27,389 stars and 2,252 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 30,002 stars and 4,224 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 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,341 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 81,978 stars and 17,668 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
High performance object store for fast LLM Inference and GPU Training. Feed your GPUs at blazing fast speeds.
GitHub repository with 913 stars and 55 forks.
Trending score: 3.11; stars gained: +60; forks gained: +0.
Language: Rust
Topics: blackwell, gpt, gpu, high-performance, llm, llm-training
TokenSpeed is a speed-of-light LLM inference engine.
GitHub repository with 1,366 stars and 141 forks.
Trending score: 1.86; stars gained: +6; forks gained: +2.
Language: Python
Topics: blackwell, deepseek, gpt-oss, kimi, lightseek, llm
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,888 stars and 6,343 forks.
Trending score: 1.72; stars gained: -55; forks gained: +18.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
GitHub repository with 13,807 stars and 2,440 forks.
Trending score: 1.18; stars gained: +16; forks gained: +7.
Language: Python
Topics: blackwell, cuda, llm-serving, moe, pytorch
cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
GitHub repository with 840 stars and 177 forks.
Trending score: 0.69; stars gained: +4; forks gained: +2.
Language: Python
Topics: attention, blackwell, cuda, cuda-kernels, cuda-toolkit, deep-learning