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Learn Deep Learning Architecture using PyTorch Lightning Ecosystem

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Deep Learning Playground using PyTorch Lightning Ecosystem

PyTorch Lightning Config: Hydra Template
Paper Conference

Description

Learn deep learning using PyTorch Lightning. Coding workflow based on https://github.com/ashleve/lightning-hydra-template.

How to run

Install dependencies

# clone project
git clone https://github.com/iwawiwi/dl-playground
cd dl-playground

# [OPTIONAL] create conda environment
conda create -n myenv python=3.9
conda activate myenv

# install pytorch according to instructions
# https://pytorch.org/get-started/

# install requirements
pip install -r requirements.txt

Train model with default configuration

# train on CPU
python train.py trainer.gpus=0

# train on GPU
python train.py trainer.gpus=1

Train model with chosen experiment configuration from configs/experiment/

python train.py experiment=experiment_name.yaml

You can override any parameter from command line like this

python train.py trainer.max_epochs=20 datamodule.batch_size=64

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