evintunador / triton_docs_tutorialsLinks
making the official triton tutorials actually comprehensible
☆57Updated 2 months ago
Alternatives and similar repositories for triton_docs_tutorials
Users that are interested in triton_docs_tutorials are comparing it to the libraries listed below
Sorting:
- ☆210Updated 10 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆233Updated 5 months ago
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆194Updated 5 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆425Updated 7 months ago
- Learn CUDA with PyTorch☆95Updated last month
- coding CUDA everyday!☆66Updated this week
- Cataloging released Triton kernels.☆263Updated last month
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 7 months ago
- Fast low-bit matmul kernels in Triton☆388Updated last week
- An extension of the nanoGPT repository for training small MOE models.☆205Updated 7 months ago
- Collection of kernels written in Triton language☆159Updated 6 months ago
- ☆224Updated last week
- ring-attention experiments☆155Updated last year
- ☆174Updated last year
- ☆246Updated this week
- Custom kernels in Triton language for accelerating LLMs☆26Updated last year
- Load compute kernels from the Hub☆308Updated this week
- GPU Kernels☆203Updated 6 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆300Updated 2 months ago
- Applied AI experiments and examples for PyTorch☆301Updated 2 months ago
- a minimal cache manager for PagedAttention, on top of llama3.☆125Updated last year
- Write a fast kernel and run it on Discord. See how you compare against the best!☆58Updated 2 weeks ago
- Efficient LLM Inference over Long Sequences☆390Updated 4 months ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆192Updated 2 years ago
- Quantized LLM training in pure CUDA/C++.☆209Updated this week
- Notes on quantization in neural networks☆104Updated last year
- Simple MPI implementation for prototyping or learning☆286Updated 2 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆580Updated 2 months ago
- Student version of Assignment 2 for Stanford CS336 - Language Modeling From Scratch☆99Updated 3 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆120Updated last week