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.
This project helps students and self-learners understand how large language models like GPT work from the ground up. It provides interactive notebooks with clear explanations and visualizations that break down complex concepts into understandable steps. If you're studying AI, deep learning, or want to grasp the inner workings of generative AI, this resource guides you through building a GPT model piece by piece.
125 stars. No commits in the last 6 months.
Use this if you are an aspiring AI/deep learning student or practitioner who wants a highly visual and detailed breakdown of the concepts and code behind modern language models, especially if you find video lectures challenging to refer back to.
Not ideal if you're looking for a high-level overview or an advanced deep-dive into cutting-edge research; this resource focuses on foundational understanding and practical implementation for learning.
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Jupyter Notebook
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MIT
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Apr 30, 2024
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