banctilrobitaille/kerosene
Deep Learning framework for fast and clean research with Pytorch
This framework helps deep learning researchers and practitioners rapidly develop and experiment with neural network models. It takes your model definition and data loaders, then provides streamlined training, visualization, and debugging. The output is a trained model and comprehensive logs and plots, making it easier for deep learning engineers to iterate on their research.
No commits in the last 6 months.
Use this if you are a deep learning researcher or engineer working with PyTorch and want to accelerate your experimental workflow without writing boilerplate code for training loops, logging, or debugging.
Not ideal if you prefer to implement every aspect of your deep learning training from scratch or if you are not using PyTorch.
Stars
13
Forks
1
Language
Python
License
MIT
Category
Last pushed
Oct 09, 2020
Commits (30d)
0
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