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☆277Updated last year
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- From the Tensor to Stable Diffusion, a rough outline for a 1 week course.☆1,073Updated last month
- Tutorials on tinygrad☆441Updated last month
- Learnings and programs related to CUDA☆426Updated 5 months ago
- Solve puzzles to improve your tinygrad skills!☆161Updated last month
- a tiny multidimensional array implementation in C similar to numpy, but only one file.☆226Updated last year
- learningggggggg 🐳☆554Updated 8 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆660Updated this week
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆228Updated 11 months ago
- UNet diffusion model in pure CUDA☆655Updated last year
- Intro to leetcodes. Basic techniques, quicksort and hash structures implementation, space and time complexities.☆96Updated last year
- ☆532Updated 3 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆437Updated 8 months ago
- some books and papers and stuff☆15Updated last year
- could we make an ml stack in 100,000 lines of code?☆46Updated last year
- An ML Systems Onboarding list☆944Updated 10 months ago
- A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Proc…☆810Updated 8 months ago
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆589Updated 5 months ago
- A really tiny autograd engine☆96Updated 6 months ago
- A deep dive on the history of robotics and the future of humanoids☆119Updated 11 months ago
- Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)☆53Updated last year
- ☆398Updated 7 months ago
- LLM papers I'm reading, mostly on inference and model compression☆747Updated last year
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆195Updated 2 years ago
- A deep-dive on the entire history of deep-learning☆1,417Updated last year
- GPU Kernels☆209Updated 7 months ago
- An implement of deep learning framework and models in C☆48Updated 8 months ago
- parallelized hyperdimensional tictactoe☆125Updated last year
- Alex Krizhevsky's original code from Google Code☆198Updated 9 years ago