VikParuchuri/zero_to_gpt resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1309 stars · 222 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A free course of Jupyter notebooks that takes learners from no deep learning knowledge to implementing a GPT model from scratch in Python and PyTorch. It covers fundamentals like gradient descent, dense and recurrent networks, backpropagation, and advanced topics like transformers, GPU programming, and distributed training.

Use cases

• learn deep learning from scratch
• implement GPT from scratch
• understand backpropagation and gradient descent
• learn how transformers work
• train a language model in PyTorch
• study neural network fundamentals with hands-on notebooks

When to choose

• you know Python and want a hands-on path from neural network basics to building GPT
• you prefer learning by implementing models yourself in notebooks
• you want both theory and practical training examples like weather prediction and translation

When to avoid

• you need a production-ready training framework or library
• you want a no-code or GUI-based learning tool
• you already need advanced MLOps or fine-tuning workflows rather than fundamentals

Facets

learning-resource · maturity active

deep-learning machine-learning llm-training deep-learning large-language-models tutorials education python pytorch jupyter-notebooks gpt transformers course neural-networks gradient-descent backpropagation

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markdown · JSON · MCP: product_card(name="VikParuchuri/zero_to_gpt")