Transcripts of the Neural Networks: Zero to Hero course

Repository nanoGPT from @karpathy accelerated with JAX/Flax! The simplest, fastest repository for training/finetuning medium-sized GPTs.

Detailed python notes & code for lectures and exercises of Andrej Karpathy's course "Neural Networks: Zero to Hero." The course is focused on building neural networks from scratch.

A modified, secure version of BPE algorithm

A simple application of an LSTM Network to generate original Folk-style music which are aesthetically pleasing for the listener.

Byte-Pair Algorithm implementation (Karpathy version of Rust)

GPT code - I completed the tutorial for building GPT components by Andrej Karpathy (Let's build GPT: from scratch, in code, spelled out)

Solutions for Andrej Karpathy's "Neural Networks: Zero to Hero" course

A random thought experiment on Infinite Monkey Theorem.

Key Pointers/ Exhaustive Notes for various Machine Learning Research Papers

This repository is dedicated to my learning journey through the AI Neural Network Course by Andrej Karpathy. It contains my personal notes, code snippets, and key takeaways from the first four parts of the course.

This is our Final Project for our Big Data Class in Second Semister in Lambton College. In this project we learn about Nural Network and see how the change in the Number of Nurons and learning rate effects rate of learning.

learning dl from karpathy sensei

Simple transformer-based LLM based on Andrej Karpathy's GPT tutorial.