gpu-mode / awesomeMLSysLinks
An ML Systems Onboarding list
☆789Updated 4 months ago
Alternatives and similar repositories for awesomeMLSys
Users that are interested in awesomeMLSys are comparing it to the libraries listed below
Sorting:
- GPU programming related news and material links☆1,527Updated 4 months ago
- Puzzles for learning Triton☆1,658Updated 6 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆357Updated 2 months ago
- Building blocks for foundation models.☆500Updated last year
- Learnings and programs related to CUDA☆402Updated 3 months ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,505Updated 2 months ago
- What would you do with 1000 H100s...☆1,048Updated last year
- ☆328Updated last month
- UNet diffusion model in pure CUDA☆606Updated 11 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆181Updated 3 weeks ago
- Material for gpu-mode lectures☆4,501Updated 3 months ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆793Updated last month
- 100 days of building GPU kernels!☆430Updated last month
- Slides, notes, and materials for the workshop☆326Updated last year
- Flash Attention in ~100 lines of CUDA (forward pass only)☆827Updated 5 months ago
- High Quality Resources on GPU Programming/Architecture☆587Updated 10 months ago
- Fast CUDA matrix multiplication from scratch☆730Updated last year
- The Tensor (or Array)☆433Updated 9 months ago
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆184Updated last week
- ☆156Updated last year
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆544Updated this week
- The Multilayer Perceptron Language Model☆549Updated 9 months ago
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆348Updated 3 months ago
- The Autograd Engine☆607Updated 8 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆351Updated 3 weeks ago
- Cataloging released Triton kernels.☆226Updated 4 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,225Updated this week
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆268Updated 6 months ago
- Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O☆359Updated 4 months ago
- ☆158Updated 10 months ago