LukasHedegaard/ride
Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch
This project helps Deep Learning researchers and practitioners quickly set up, train, and evaluate PyTorch models without writing repetitive code. You define your model's unique architecture and data, and the system handles standard tasks like training, testing, logging, and checkpointing, producing trained models, performance metrics, and visualizations. It's designed for those building and experimenting with new deep learning models.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Deep Learning researcher or practitioner who wants to focus on developing novel model architectures in PyTorch, rather than writing boilerplate code for training loops, data loading, or hyperparameter management.
Not ideal if you are looking for a low-code platform for deploying existing models or if you need a solution for machine learning tasks outside of Deep Learning in PyTorch.
Stars
24
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 23, 2023
Commits (30d)
0
Dependencies
14
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