AayushSameerShah / Neural-Net-Zero-to-Hero-with-AndrejLinks
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's π playlist on Neural Networks - which we will end up with building GPT.
β123Updated last year
Alternatives and similar repositories for Neural-Net-Zero-to-Hero-with-Andrej
Users that are interested in Neural-Net-Zero-to-Hero-with-Andrej are comparing it to the libraries listed below
Sorting:
- Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."β200Updated this week
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024β248Updated last year
- β127Updated 11 months ago
- Code Transformer neural network components piece by pieceβ369Updated 2 years ago
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.β129Updated 2 years ago
- Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)β333Updated 2 years ago
- List of resources, libraries and more for developers who would like to build with open-source machine learning off-the-shelfβ198Updated last year
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Scβ¦β120Updated 4 months ago
- Computer Vision and Machine Learning Jupyter Notebooks for Educational Purposesβ81Updated last month
- Following Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfishβ172Updated last year
- This repository contains everything you need to become proficient in ML/AI Research and Research Papersβ598Updated last year
- LLM (Large Language Model) FineTuningβ567Updated 8 months ago
- Code files for advanced LLM Courseβ215Updated last year
- small auto-grad engine inspired from Karpathy's micrograd and PyTorchβ277Updated last year
- Notes from the Latent Space paper club. Follow along or start your own!β242Updated last year
- Deep Learning Fundamentals -- Code material and exercisesβ397Updated last year
- Implementations of Papers that I read, you can read my breakdown in my blogβ89Updated 2 months ago
- AI algorithmsβ142Updated last year
- Llama from scratch, or How to implement a paper without cryingβ581Updated last year
- Educational materials on deep learning by Weights & Biasesβ649Updated 11 months ago
- β89Updated 8 months ago
- β131Updated 2 years ago
- ghimiresunil / LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-InferencingLLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencβ¦β716Updated last month
- gpt-2 from scratch in mlxβ406Updated last year
- GPU Kernelsβ212Updated 8 months ago
- Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!β453Updated last year
- Deep Learning for Computer Visionβ60Updated last year
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementaβ¦β228Updated 11 months ago
- Code examples and jupyter notebooks for the Cohere Platformβ508Updated 11 months ago
- β217Updated last year