#246 · Primary category： Deep Learning Frameworks
TensorSlow
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
Project last updated：04/11/21
GitHub Stars
678
Forks
88
Contributors
1
License
MIT
Why we included this project
TensorSlow is a pure Python reimplementation of the TensorFlow API, written without a C backend so every operation stays readable source code. The author deliberately chose clarity over speed, and the companion blog series builds the library step by step while deriving the math behind computational graphs and backpropagation. If you want to see how a deep learning framework actually works under the hood, this is a good place to start. It is not meant for real workloads, but as a teaching tool it is genuinely useful.
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