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1. Build-a-Large-Language-Model-from-Scratch Build-a-Large-Language-Model-from-Scratch Public

   Building a GPT-like LLM from scratch with PyTorch.

   Python 369 88

2. GPT-2 GPT-2 Public

   A readable, from scratch GPT-2 in PyTorch: hand-written components with clear names, a verified Hugging Face weight bridge, and a full training stack.

   Python 1

3. ReAct-Agent-plus-TextWorld ReAct-Agent-plus-TextWorld Public

   ReAct (Reasoning and Acting) agent built from scratch in Python, adapted to interact with Microsoft’s TextWorld environments.

   Python 1

4. Neural-Networks-from-Scratch-in-Python Neural-Networks-from-Scratch-in-Python Public

   Building neural networks from scratch only with Python and NumPy. This covers coding neurons, layering them, using activation functions, calculating loss, backpropagation, and optimizing parameters.

   Python 52 14

5. ReAct-Agent-from-Scratch ReAct-Agent-from-Scratch Public

   ReAct (Reasoning and Acting) agent built from scratch in Python. No libraries, no abstractions, simple and straight to the point.

   Python 2 1

6. AirQNet AirQNet Public

   AirQNet (Air Quality Network) is a 10,886 parameter neural network built with PyTorch for air quality classification.

   Python 2