SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,862 stars and 6,348 forks.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm, gpt-oss, inference, llama, llm
Trending score 1.72, activity score 0.05, stars gained -55, forks gained +18.
2026-06-05: 28,862 stars and 6,348 forks.
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,862 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 5,752 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
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
The agent that grows with you
GitHub repository with 182,353 stars and 31,271 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 14,053 stars and 885 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 27,548 stars and 2,267 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 28,711 stars and 4,695 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,427 stars and 28,046 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
The agent engineering platform.
GitHub repository with 138,587 stars and 22,961 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: agents, ai, ai-agents, anthropic, chatgpt, deepagents
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,862 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 5,752 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 38 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
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
🛡️ Develop an external Rust cheat using AI-driven stealth kernel techniques to bypass EAC detection with advanced memory and execution hooks.
GitHub repository with 5 stars and 2 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: C++
Topics: attention, aws, compiler, data-structures, dns, dns-controller