Quentin-Anthony / torch-profiling-tutorialLinks
☆525Updated 3 months ago
Alternatives and similar repositories for torch-profiling-tutorial
Users that are interested in torch-profiling-tutorial are comparing it to the libraries listed below
Sorting:
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆195Updated 5 months ago
- Best practices & guides on how to write distributed pytorch training code☆530Updated 3 weeks ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆427Updated 8 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆653Updated last week
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆564Updated 4 months ago
- UNet diffusion model in pure CUDA☆651Updated last year
- Simple MPI implementation for prototyping or learning☆287Updated 3 months ago
- Simple Transformer in Jax☆139Updated last year
- Puzzles for exploring transformers☆376Updated 2 years ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆822Updated 3 months ago
- ☆285Updated last year
- ☆457Updated last year
- ☆545Updated last year
- Dion optimizer algorithm☆383Updated this week
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆302Updated last week
- Learnings and programs related to CUDA☆423Updated 4 months ago
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆683Updated this week
- A zero-to-one guide on scaling modern transformers with n-dimensional parallelism.☆104Updated last month
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- ☆176Updated last year
- in this repository, i'm going to implement increasingly complex llm inference optimizations☆70Updated 5 months ago
- Implementation of Diffusion Transformer (DiT) in JAX☆294Updated last year
- ☆225Updated 3 weeks ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆277Updated 11 months ago
- Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"☆556Updated last month
- ☆121Updated last week
- A really tiny autograd engine☆97Updated 5 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆148Updated 2 years ago
- Quantized LLM training in pure CUDA/C++.☆215Updated this week
- Learning about CUDA by writing PTX code.☆147Updated last year