AayushSameerShah / Neural-Net-Zero-to-Hero-with-Andrej
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 💎 playlist on Neural Networks - which we will end up with building GPT.
☆107Updated 9 months ago
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
- Jupyter Notebook notes on Andrej Karpathy's tutorial series, "Neural Networks: Zero to Hero."☆143Updated this week
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆241Updated 9 months ago
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.☆124Updated last year
- ☆117Updated 3 weeks ago
- ☆128Updated last month
- small auto-grad engine inspired from Karpathy's micrograd and PyTorch☆248Updated 2 months ago
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…☆203Updated last month
- Learnings and programs related to CUDA☆262Updated this week
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆772Updated 3 weeks ago
- Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish☆167Updated 6 months ago
- A set of scripts and notebooks on LLM finetunning and dataset creation☆103Updated 4 months ago
- ☆199Updated last year
- List of resources, libraries and more for developers who would like to build with open-source machine learning off-the-shelf☆199Updated 10 months ago
- Machine Learning Q and AI book☆374Updated 4 months ago
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆230Updated 3 months ago
- This repository contains everything you need to become proficient in ML/AI Research and Research Papers☆552Updated 11 months ago
- Code Transformer neural network components piece by piece☆331Updated last year
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆269Updated this week
- Complete implementation of Llama2 with/without KV cache & inference 🚀☆47Updated 8 months ago
- learningggggggg 🐳☆221Updated last month
- A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch☆61Updated this week
- Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques☆143Updated 2 weeks ago
- Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)☆249Updated last year
- Deep Learning for Computer Vision☆51Updated 8 months ago
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆117Updated 2 years ago
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…☆112Updated 7 months ago
- ☆80Updated last month