arpitingle / gpu-alphaLinks
High Quality Resources on GPU Programming/Architecture
☆589Updated last year
Alternatives and similar repositories for gpu-alpha
Users that are interested in gpu-alpha are comparing it to the libraries listed below
Sorting:
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆276Updated 9 months ago
- From the Tensor to Stable Diffusion, a rough outline for a 1 week course.☆1,071Updated last week
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- Tutorials on tinygrad☆411Updated last month
- Learnings and programs related to CUDA☆418Updated 2 months ago
- a tiny multidimensional array implementation in C similar to numpy, but only one file.☆228Updated last year
- Solve puzzles to improve your tinygrad skills!☆142Updated 6 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆638Updated last week
- learningggggggg 🐳☆545Updated 5 months ago
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆227Updated 8 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆405Updated 6 months ago
- An ML Systems Onboarding list☆892Updated 7 months ago
- Intro to leetcodes. Basic techniques, quicksort and hash structures implementation, space and time complexities.☆97Updated last year
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆496Updated 2 months ago
- UNet diffusion model in pure CUDA☆648Updated last year
- could we make an ml stack in 100,000 lines of code?☆46Updated last year
- Alex Krizhevsky's original code from Google Code☆196Updated 9 years ago
- A really tiny autograd engine☆95Updated 3 months ago
- A deep dive on the history of robotics and the future of humanoids☆101Updated 8 months ago
- The Tensor (or Array)☆442Updated last year
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆380Updated 6 months ago
- Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)☆53Updated last year
- ☆495Updated last month
- A deep-dive on the entire history of deep-learning☆1,393Updated last year
- ☆366Updated 5 months ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆189Updated last year
- A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Proc…☆748Updated 5 months ago
- Deep Learning resources☆122Updated last year
- The Autograd Engine☆628Updated last year
- some books and papers and stuff☆15Updated 11 months ago