minimal deep learning framework
Project description
Nimrod
Minimal DL framework for fast experimentation
\### [![python](https://img.shields.io/badge/-Python_3.7_%7C_3.8_%7C_3.9_%7C_3.10-blue?logo=python&logoColor=white)](https://github.com/pre-commit/pre-commit) [![pytorch](https://img.shields.io/badge/PyTorch_1.10+-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/get-started/locally/) [![hydra](https://img.shields.io/badge/Config-Hydra_1.3-89b8cd)](https://hydra.cc/) [![pre-commit](https://img.shields.io/badge/Pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white.png)](https://github.com/pre-commit/pre-commit)Description
This is a repo with minimal tooling, modules, models and recipes to get easily get started with deep learning training and experimentation
Install
pip install nimrod
Usage
Check recipes in recipes/
folder. For instance:
cd recipes/autoencoder/
python train.py
Authors
2023 Sylvain Le Groux slegroux@ccrma.stanford.edu
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