Skip to content

Latest commit

 

History

History
23 lines (14 loc) · 828 Bytes

README.md

File metadata and controls

23 lines (14 loc) · 828 Bytes

Fast-Machine-Unlearning

The procedure for unlearning is presented in notebook. The code requires following packages to be installed:

  1. PyTorch >= 1.5.0
  2. TorchVision >= 0.2.2
  3. Numpy >= 1.21.3

All the dependencies can be installed using envirnment.yml file. The conda envirnment with the dependencies can be created using the following command:

conda env create -f environment.yml

The command will create envirnment named "Unlearning_Env". Activate the envirnment using

conda activate Unlearning_Env

The code can be used from notebook after activating the envirnment from conda.

If conda is not installed in system, the depedencies could be installed using pip, run following commands to install dependencies using pip:

pip install torch==1.5.0 torchvision==0.2.2

pip install numpy==1.21.3