srush / Triton-PuzzlesView external linksLinks
Puzzles for learning Triton
☆2,296Nov 18, 2024Updated last year
Alternatives and similar repositories for Triton-Puzzles
Users that are interested in Triton-Puzzles are comparing it to the libraries listed below
Sorting:
- ☆288Updated this week
- Puzzles for learning Triton, play it with minimal environment configuration!☆624Dec 28, 2025Updated last month
- What would you do with 1000 H100s...☆1,151Jan 10, 2024Updated 2 years ago
- Tile primitives for speedy kernels☆3,139Updated this week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆595Aug 12, 2025Updated 6 months ago
- Development repository for the Triton language and compiler☆18,387Updated this week
- Cataloging released Triton kernels.☆292Sep 9, 2025Updated 5 months ago
- FlashInfer: Kernel Library for LLM Serving☆4,935Updated this week
- Efficient Triton Kernels for LLM Training☆6,123Feb 7, 2026Updated last week
- Material for gpu-mode lectures☆5,726Feb 1, 2026Updated last week
- Puzzles for exploring transformers☆386May 4, 2023Updated 2 years ago
- 🚀 Efficient implementations of state-of-the-art linear attention models☆4,379Updated this week
- Solve puzzles. Improve your pytorch.☆3,912Jul 15, 2024Updated last year
- GPU programming related news and material links☆1,967Sep 17, 2025Updated 4 months ago
- Solve puzzles. Learn CUDA.☆11,942Sep 1, 2024Updated last year
- A PyTorch native platform for training generative AI models☆5,045Updated this week
- Distributed Compiler based on Triton for Parallel Systems☆1,350Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,094Updated this week
- ☆494Oct 18, 2024Updated last year
- Applied AI experiments and examples for PyTorch☆315Aug 22, 2025Updated 5 months ago
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,120Jan 29, 2026Updated 2 weeks ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,266Updated this week
- Fast low-bit matmul kernels in Triton☆429Feb 1, 2026Updated last week
- FlagGems is an operator library for large language models implemented in the Triton Language.☆898Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆326Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,668Updated this week
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆9,617Feb 5, 2026Updated last week
- A Quirky Assortment of CuTe Kernels☆798Updated this week
- Helpful tools and examples for working with flex-attention☆1,127Updated this week
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆792Jan 20, 2026Updated 3 weeks ago
- Fast and memory-efficient exact attention☆22,231Updated this week
- Ring attention implementation with flash attention☆980Sep 10, 2025Updated 5 months ago
- Annotated version of the Mamba paper☆496Feb 27, 2024Updated last year
- Minimalistic large language model 3D-parallelism training☆2,544Dec 11, 2025Updated 2 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆457Mar 10, 2025Updated 11 months ago
- how to optimize some algorithm in cuda.☆2,819Jan 31, 2026Updated last week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,152Feb 7, 2026Updated last week
- Machine Learning Engineering Open Book☆16,586Jan 23, 2026Updated 3 weeks ago
- Triton-based implementation of Sparse Mixture of Experts.☆265Oct 3, 2025Updated 4 months ago