MagNet-DL/magnet
Deep Learning Projects that Build Themselves
MagNet helps deep learning researchers and practitioners quickly build and train neural network models. You provide your dataset and define the model's core layers, and MagNet automatically handles complex details like layer dimensions and data flow. This allows you to focus on experimental design and model logic rather than boilerplate code.
360 stars. No commits in the last 6 months.
Use this if you are a deep learning engineer or researcher who wants to rapidly prototype and iterate on neural network architectures without getting bogged down in low-level PyTorch configuration.
Not ideal if you need fine-grained control over every single parameter of your PyTorch models or are working on highly custom, non-standard neural network components.
Stars
360
Forks
26
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 10, 2019
Commits (30d)
0
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