Awesome
IML-CompAI DL
Overview Deep Learning Framework
Installation guide:
0). Set up wandb. (https://docs.wandb.ai/quickstart)
- Sign up for a free account at https://wandb.ai/site and then login to your wandb account.
- Login to wandb with
wandb login - Paste the API key when prompted. You will find your API key here: https://wandb.ai/authorize.
1). Clone iml-dl to desired location
git clone https://github.com/iml-compai-munich/iml-dl.git *TARGET_DIR*
2). Create a virtual environment with the needed packages (use conda_environment-osx.yaml for macOS)
cd ${TARGET_DIR}/iml-dl
conda env create -f conda_environment.yaml
source activate iml_py308 *or* conda activate iml_py308
3). Install pytorch
- with cuda:
pip3 install torch==1.9.1+cu111 torchvision==0.10.1+cu111 -f https://download.pytorch.org/whl/torch_stable.html
- w/o cuda:
pip3 install torch==1.9.1 torchvision==0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
4). Run the demo script:
python core/Main.py --config_path projects/dummy_project/config_cifar10.yaml
5). Optional: Clone the projects folder to your own Github:
cd ${TARGET_DIR}/iml-dl/projects
git init
git remote add origin $URL_TO_YOUR_REPO
git branch -M main
git commit -m "first commit"
git push -u origin main
Push policy
Please create a new branch for your project. Desired changes to the framework can be done on a push-request and code peer-review basis.