ds-factory-deep-learning-frameworks

Source code for paper Deep Learning frameworks comparison by Data Science Factory

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Prerequisites

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conda >= 4.13.0
jupyter-notebook

Installation and usage

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1. Clone project code from github repostitory:
git clone https://github.com/isaienkov/ds-factory-deep-learning-frameworks.git

2. Creare and activate conda environment for the project:
conda create -n deep-learning-frameworks python=3.9
conda activate deep-learning-frameworks

3. Install requirements for the project:
cd ds-factory-deep-learning-frameworks
pip install -r requirements.txt

4. Set conda environment on your jupyter notebook:
python -m ipykernel install --user --name=deep-learning-frameworks

5. Run jupyter and select keras-tf-pytorch.ipynb (run not from current env):
jupyter-notebook

6. Run cells inside the notebook and have a fun!