DeepTrackAI/deeplay
Deeplay is a deep learning library in Python that extends PyTorch with additional functionalities focused on modularity and reusability.
This library helps deep learning practitioners build and customize neural network architectures more flexibly. It takes your existing PyTorch code and allows you to dynamically modify model components after creation, making them easier to reuse and adapt across different projects. Deep learning engineers and researchers who build complex models will find this useful.
Available on PyPI.
Use this if you need to frequently modify, reuse, or adapt components within your deep learning models and want more flexibility than standard PyTorch offers.
Not ideal if you primarily work with pre-built, static deep learning models or do not require extensive customization of network architectures.
Stars
26
Forks
14
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 21, 2026
Commits (30d)
0
Dependencies
12
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