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Andrej Karpathy is a Stanford researcher and a deep learning enthusiast. He has 50 repositories on GitHub, including nanoGPT, micrograd, convnetjs, and llama2.c.
- GitHub - karpathy/nn-zero-to-hero: Neural Networks: Zero to Hero
Lecture 1: The spelled-out intro to neural networks and...
- GitHub - karpathy/nanoGPT: The simplest, fastest repository ...
nanoGPT. The simplest, fastest repository for...
- GitHub - karpathy/minGPT: A minimal PyTorch re-implementation ...
minGPT. A PyTorch re-implementation of GPT, both training...
- GitHub - karpathy/micrograd: A tiny scalar-valued autograd ...
A tiny Autograd engine (with a bite! :)). Implements...
- GitHub - karpathy/llama2.c: Inference Llama 2 in one file of ...
Train the Llama 2 LLM architecture in PyTorch then inference...
- GitHub - karpathy/nn-zero-to-hero: Neural Networks: Zero to Hero
Jan 20, 2018 · Andrej Karpathy is a research scientist and engineer who works on deep learning and computer vision. His blog features posts on various topics related to AI, such as neural networks, reinforcement learning, Bitcoin, biochemistry, and productivity.
