Brogis1/eigh
Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.
GitHub repository with 25 stars and 0 forks.
Language: Python
Topics: cuda, differentiation, eig, jax
Differentiable generalized eigensolver in JAX. Extracted from PYSCFAD implementation.
GitHub repository with 25 stars and 0 forks.
Language: Python
Topics: cuda, differentiation, eig, jax
2026-06-05: 25 stars and 0 forks.
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 81,986 stars and 17,669 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
A GPU cluster manager that configures and orchestrates inference engines like vLLM and SGLang for high-performance AI model deployment.
GitHub repository with 5,105 stars and 542 forks.
Trending score: 2.51; stars gained: +11; forks gained: +1.
Language: Python
Topics: ascend, cuda, deepseek, distributed-inference, genai, high-performance-inference
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
GitHub repository with 8,422 stars and 1,246 forks.
Trending score: 2.17; stars gained: +11; forks gained: +6.
Language: Python
Topics: amd, cuda, fast, inference, kv-cache, llm
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,891 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
FlashInfer: Kernel Library for LLM Serving
GitHub repository with 5,748 stars and 1,026 forks.
Trending score: 1.16; stars gained: +15; forks gained: +8.
Language: Python
Topics: gpu, large-large-models, cuda, pytorch, llm-inference, jit
The agent that grows with you
GitHub repository with 181,624 stars and 31,163 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 27,422 stars and 2,253 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 4,250 stars and 534 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 301,371 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 81,986 stars and 17,669 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
A GPU cluster manager that configures and orchestrates inference engines like vLLM and SGLang for high-performance AI model deployment.
GitHub repository with 5,105 stars and 542 forks.
Trending score: 2.51; stars gained: +11; forks gained: +1.
Language: Python
Topics: ascend, cuda, deepseek, distributed-inference, genai, high-performance-inference
Fast LLM speculative inference server for consumer hardware.
GitHub repository with 2,331 stars and 217 forks.
Trending score: 2.31; stars gained: +17; forks gained: +3.
Language: C++
Topics: kernel, llama-cpp, local-ai, nvidia-cuda, qwen, rtx3090
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
GitHub repository with 8,422 stars and 1,246 forks.
Trending score: 2.17; stars gained: +11; forks gained: +6.
Language: Python
Topics: amd, cuda, fast, inference, kv-cache, llm
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
GitHub repository with 1,494 stars and 480 forks.
Trending score: 1.82; stars gained: +7; forks gained: +5.
Language: C++
Topics: accelerator, ai, cuda, deepseek, gpu, img-gen
Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.
GitHub repository with 473 stars and 62 forks.
Trending score: 1.78; stars gained: +2; forks gained: +1.
Language: C
Topics: 3d-human-pose, bvh, computer-vision, cpp, cuda, ggml