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.
Language: Python
Topics: attention, blackwell, cuda-kernels, flash-attention, fp8, gemm, gpu, hopper, mixture-of-experts, moe
Trending score 0.69, activity score 0.05, stars gained +4, forks gained +2.
2026-06-05: 840 stars and 177 forks.
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,858 stars and 6,348 forks.
Trending score: 1.72; stars gained: -55; forks gained: +18.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
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
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-kernels, flash-attention, fp8, gemm
Implementation of Danijar's latest iteration for his Dreamer line of work
GitHub repository with 191 stars and 18 forks.
Trending score: 0.60; stars gained: +3; forks gained: +0.
Language: Python
Topics: artificial-intelligence, deep-learning, model-based-reinforcement-learning, transformers, world-models, attention
TableMamba is a Mamba-based sequential recommender that encodes a user's interaction history with selective state-space blocks and a multi-interest head of M parallel SSM readers at log-spaced timescales, scoring items by their best-matching interest in O(T).
GitHub repository with 9 stars and 0 forks.
Trending score: 0.31; stars gained: +1; forks gained: +0.
Language: Python
Topics: ai, ai-research, attention, deepseek, mamba, ml
Implementation of D4RT, Efficiently Reconstructing Dynamic Scenes, from Deepmind
GitHub repository with 66 stars and 0 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Language: Python
Topics: 4d, artificial-intelligence, attention, deep-learning, flow-matching
The agent that grows with you
GitHub repository with 181,834 stars and 31,197 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 13,768 stars and 870 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
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
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
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,858 stars and 6,348 forks.
Trending score: 1.72; stars gained: -55; forks gained: +18.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
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
Minimal FlashAttention in CUDA C++/CuTe: readable WMMA/CuTe kernels, no NxN workspace, up to 4.5x faster than naive PyTorch
GitHub repository with 21 stars and 1 forks.
Trending score: 1.02; stars gained: +9; forks gained: +1.
Language: Cuda
Topics: attention, cuda, cute, cutlass, flash-attention, flashattention
A hands-on course for building modern LLMs from scratch in PyTorch, with 23 runnable Jupyter Notebooks covering tokenizers, attention, MoE, RLHF, inference, evaluation, and distillation.
GitHub repository with 37 stars and 9 forks.
Trending score: 0.87; stars gained: +1; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, attention, finetune, gpt, large-language-models, llm
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-kernels, flash-attention, fp8, gemm
Implementation of Danijar's latest iteration for his Dreamer line of work
GitHub repository with 191 stars and 18 forks.
Trending score: 0.60; stars gained: +3; forks gained: +0.
Language: Python
Topics: artificial-intelligence, deep-learning, model-based-reinforcement-learning, transformers, world-models, attention