jla524 / road-to-llmLinks
A learning roadmap from the tensor to large language models (LLMs).
☆10Updated last year
Alternatives and similar repositories for road-to-llm
Users that are interested in road-to-llm are comparing it to the libraries listed below
Sorting:
- High Quality Resources on GPU Programming/Architecture☆588Updated last year
- From the Tensor to Stable Diffusion, a rough outline for a 1 week course.☆1,069Updated last week
- Tutorials on tinygrad☆414Updated last month
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆276Updated 10 months ago
- learningggggggg 🐳☆549Updated 5 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆638Updated 2 weeks ago
- a tiny multidimensional array implementation in C similar to numpy, but only one file.☆227Updated last year
- Solve puzzles to improve your tinygrad skills!☆143Updated 6 months ago
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆172Updated last year
- A deep-dive on the entire history of deep-learning☆1,401Updated last year
- 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
- UNet diffusion model in pure CUDA☆647Updated last year
- The Autograd Engine☆634Updated last year
- The Tensor (or Array)☆446Updated last year
- An ML Systems Onboarding list☆902Updated 8 months ago
- Learnings and programs related to CUDA☆418Updated 2 months ago
- some books and papers and stuff☆15Updated last year
- It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.☆810Updated last year
- GPU Kernels☆194Updated 5 months ago
- If tinygrad wasn't small enough for you...☆742Updated last year
- ☆310Updated 2 weeks ago
- just me trying to implement deep learning concepts in code☆192Updated 5 months ago
- The n-gram Language Model☆1,443Updated last year
- Deep Learning resources☆122Updated 2 years ago
- ☆1,435Updated 2 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆410Updated 6 months ago
- The Multilayer Perceptron Language Model☆564Updated last year
- A c/c++ implementation of micrograd: a tiny autograd engine with neural net on top.☆72Updated 2 years ago
- could we make an ml stack in 100,000 lines of code?☆46Updated last year
- 100 days of building GPU kernels!☆500Updated 5 months ago