prescient-design / CBGM

Concept-based generative models

Concept Bottleneck Generative Models

This is the official open source repository for Concept Bottleneck Generative Models

Installation

Dependencies can be installed using the following command:

mamba env create --file env.yaml
conda activate cbgm

Usage

To run a model you need to specifiy the model type and dataset. For example to run a vaegan on celeba training command is as follows:

python main.py -m vaegan -d celeba

While for a vaegan with a concept bottleneck layer is:

python main.py -m cb_vaegan -d celeba

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at https://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.