hkproj / triton-flash-attentionLinks
☆192Updated 7 months ago
Alternatives and similar repositories for triton-flash-attention
Users that are interested in triton-flash-attention are comparing it to the libraries listed below
Sorting:
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆211Updated 3 months ago
- Cataloging released Triton kernels.☆252Updated 7 months ago
- making the official triton tutorials actually comprehensible☆53Updated last month
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆391Updated 5 months ago
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆190Updated 2 months ago
- a minimal cache manager for PagedAttention, on top of llama3.☆118Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆178Updated 5 months ago
- Fast low-bit matmul kernels in Triton☆353Updated last week
- LLaMA 2 implemented from scratch in PyTorch☆347Updated last year
- GPU Kernels☆193Updated 3 months ago
- ☆163Updated last year
- Collection of kernels written in Triton language☆147Updated 4 months ago
- ring-attention experiments☆149Updated 10 months ago
- ☆211Updated 6 months ago
- Efficient LLM Inference over Long Sequences☆389Updated 2 months ago
- ☆232Updated this week
- Applied AI experiments and examples for PyTorch☆291Updated this week
- LLM KV cache compression made easy☆586Updated this week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆568Updated 2 weeks ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆250Updated 2 weeks ago
- Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)☆152Updated last year
- Load compute kernels from the Hub☆244Updated this week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆261Updated last month
- Learn CUDA with PyTorch☆35Updated last week
- 100 days of building GPU kernels!☆489Updated 3 months ago
- A minimal implementation of vllm.☆51Updated last year
- ☆39Updated 5 months ago
- Notes on quantization in neural networks☆96Updated last year
- kernels, of the mega variety☆476Updated 2 months ago
- Fastest kernels written from scratch☆316Updated 4 months ago