howl-anderson/tensorweaver
A modern educational deep learning framework for students, engineers and researchers
TensorWeaver helps deep learning engineers and researchers understand exactly how popular frameworks like PyTorch work. You provide your neural network code, and it processes it with full visibility into the internal steps of automatic differentiation and optimization. This tool is for ML engineers, researchers, and software engineers who need to debug complex models or gain a deeper understanding of framework mechanics.
Available on PyPI.
Use this if you feel PyTorch is a 'black box' and you want to see the detailed computations behind gradient calculations, backpropagation, and optimizer steps.
Not ideal if you are solely focused on deploying highly optimized, production-grade deep learning models where performance is the absolute top priority.
Stars
7
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 21, 2025
Commits (30d)
0
Dependencies
3
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