TinyGPT – A Simple, Educational Deep Learning Library
A tiny version of GPT fully implemented in Python with zero dependencies - isaacperez/tinygpt
TinyGPT – A Simple, Educational Deep Learning Library launched on September 3, 2024 with 13 votes, #1,020 of 5,281 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
TinyGPT is a deep learning library designed for educational purposes. It provides a simplified approach to implementing and understanding neural networks and language models. The library is intended for students and developers who want to learn the fundamentals of deep learning through hands-on coding with manageable, well-documented code. Its main distinguishing feature is its focus on clarity and accessibility rather than production-level performance or scale.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- MIMicrogpt is a GPT you can visualize in the browserFeb 2026 · microgpt.boratto.ca · ▲282
very much inspired by karpathy's microgpt of the same name. it's (by default) a 4000 param GPT/LLM/NN that learns to generate names. this is sorta an educational tool in that you can visualize the activations as they pass through the network, and click on things to get an explanation of them.
GPT‑5.4 mini and nanoMar 2026 · openai.com · ▲267Fast and efficient models optimized for coding and subagents
GPT-4.1 in the API2025 · openai.com · ▲375Announcing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API
I wrote a minimal deep learning library from scratch in Python2021 · github.com · ▲25A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
less than 650 LOC trainable GPT only using NumPy2023 · github.com · ▲90Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines). - joennlae/tensorli

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