dzyim / ilya-sutskever-recommended-readingLinks
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
☆548Updated last year
Alternatives and similar repositories for ilya-sutskever-recommended-reading
Users that are interested in ilya-sutskever-recommended-reading are comparing it to the libraries listed below
Sorting:
- learningggggggg 🐳☆544Updated 4 months ago
- Learnings and programs related to CUDA☆415Updated 2 months ago
- ☆365Updated 4 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 7 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆278Updated 9 months ago
- The Autograd Engine☆628Updated 11 months ago
- The Multilayer Perceptron Language Model☆559Updated last year
- A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch☆329Updated this week
- ☆249Updated 2 weeks ago
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆377Updated 6 months ago
- 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 month
- The n-gram Language Model☆1,438Updated last year
- A deep-dive on the entire history of deep-learning☆1,387Updated last year
- a simple CLI command that will create a template of a generic ML Project☆82Updated 10 months ago
- GPU Kernels☆193Updated 4 months ago
- (WIP) A small but powerful, homemade PyTorch from scratch.☆623Updated last week
- A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Proc…☆740Updated 5 months ago
- Question paper of courses taught at IISC as part of MTech AI curriculum☆71Updated 8 months ago
- Repository of implementations of classic and sota rl algorithms from scratch in PyTorch☆133Updated last week
- Minimal and annotated implementations of key ideas from modern deep learning research.☆1,098Updated last month
- ☆475Updated last month
- 100 days of building GPU kernels!☆492Updated 4 months ago
- An ML Systems Onboarding list☆877Updated 7 months ago
- Assignments of courses taught at IISC as part of MTech AI curriculum☆120Updated 6 months ago
- Implementing DeepSeek R1's GRPO algorithm from scratch☆1,548Updated 4 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆393Updated 5 months ago
- Basically a repo containing architectures/algorithms/papers from scratch in pytorch☆30Updated 2 months ago
- This repository contains everything you need to become proficient in ML/AI Research and Research Papers☆595Updated last year
- just me trying to implement deep learning concepts in code☆186Updated 4 months ago