mlops-discord / gpu-optimization-workshopLinks
Slides, notes, and materials for the workshop
☆326Updated last year
Alternatives and similar repositories for gpu-optimization-workshop
Users that are interested in gpu-optimization-workshop are comparing it to the libraries listed below
Sorting:
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆184Updated last week
- ☆74Updated 11 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆544Updated this week
- ☆474Updated 10 months ago
- An ML Systems Onboarding list☆794Updated 4 months ago
- ☆157Updated last year
- Where GPUs get cooked 👩🍳🔥☆230Updated 3 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆181Updated 3 weeks ago
- Best practices & guides on how to write distributed pytorch training code☆433Updated 3 months ago
- Fine-tune an LLM to perform batch inference and online serving.☆111Updated 3 weeks ago
- ☆168Updated 5 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆133Updated last year
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆357Updated 2 months ago
- GPU Kernels☆178Updated last month
- Building blocks for foundation models.☆500Updated last year
- PyTorch per step fault tolerance (actively under development)☆302Updated last week
- 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
- GPU programming related news and material links☆1,540Updated 4 months ago
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.☆122Updated last year
- ☆188Updated 3 months ago
- Cataloging released Triton kernels.☆226Updated 4 months ago
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆380Updated last month
- Alex Krizhevsky's original code from Google Code☆192Updated 9 years ago
- UNet diffusion model in pure CUDA☆606Updated 11 months ago
- ☆328Updated last month
- For optimization algorithm research and development.☆518Updated this week
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆196Updated last year
- Solutions provided to Chip Huyen's Machine Learning Interview Book with GPT☆40Updated last year
- CUDA Learning guide☆382Updated 11 months ago