ryankillian / karpathy-lectures-notebooksLinks
Jupyter notebooks accompanying Andrej Karpathy's neural network lectures. Includes extended notes and direct Colab links.
☆30Updated last year
Alternatives and similar repositories for karpathy-lectures-notebooks
Users that are interested in karpathy-lectures-notebooks are comparing it to the libraries listed below
Sorting:
- List of references and online resources related to data science, machine learning and deep learning.☆412Updated 2 months ago
- ☆555Updated 2 weeks ago
- ☆398Updated 7 months ago
- Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)☆324Updated 2 years ago
- GPU Kernels☆209Updated 7 months ago
- Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."☆195Updated last month
- Challenging myself to learn CUDA (Basics → Intermediate) these 100 days.☆27Updated 5 months ago
- Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs…☆487Updated 11 months ago
- A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch☆390Updated 2 weeks ago
- This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…☆415Updated 9 months ago
- A category wise collection of 200+ LLM survey papers.☆234Updated 7 months ago
- Building a GPT-like LLM from scratch with PyTorch.☆312Updated 11 months ago
- LLM (Large Language Model) FineTuning☆565Updated 7 months ago
- 100 days of building GPU kernels!☆540Updated 7 months ago
- repo of paper implementations☆20Updated 9 months ago
- Code Transformer neural network components piece by piece☆367Updated 2 years ago
- It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.☆957Updated last year
- Transformers 3rd Edition☆459Updated 3 months ago
- This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.☆1,152Updated 10 months ago
- Detailed python notes & code for lectures and exercises of Andrej Karpathy's course "Neural Networks: Zero to Hero." The course is focuse…☆79Updated 3 months ago
- ☆125Updated 10 months ago
- This repository contains an exhaustive coverage of a hands on approach to PyTorch along side powerful tools to accelerate model tuning an…☆194Updated last month
- Repository for the "Building LLMs for Production" book by Towards AI.☆513Updated last year
- Just enough Kubernetes for you to fly☆531Updated 8 months ago
- LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.☆190Updated last year
- A 4-hour coding workshop to understand how LLMs are implemented and used☆1,046Updated 10 months ago
- Apply GPU in ML and DL☆55Updated 2 months ago
- Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques☆344Updated 5 months ago
- An ML Systems Onboarding list☆942Updated 10 months ago
- Here's all my Python/Numba (CUDA) code for the encoder block I made :)☆68Updated 7 months ago