Skorch

Skorch is an open-source machine learning library that provides a scikit-learn compatible interface for training neural networks using PyTorch. It combines the flexibility of PyTorch with the simplicity and usability of the scikit-learn API, making deep learning easier to integrate into traditional machine learning workflows.

Features of Skorch:

• Provides a scikit-learn-style interface (fit, predict, score) for PyTorch models.
• Integrates seamlessly with scikit-learn tools such as GridSearchCV, Pipeline, and cross-validation.
• Supports custom PyTorch nn.Module models with minimal configuration.
• Includes callbacks, metrics, checkpointing, and learning rate schedulers.
• Enables rapid experimentation and prototyping of deep learning models.
• Open-source and actively maintained by the machine learning community.

To install and check the installed version of Skorch using Docker on Ubuntu 24.04:

$ sudo su

$ cd /opt/skorch

$ docker start skorch

$ docker exec -it skorch /bin/bash

# Check Skorch version
python -c "import skorch; print(skorch.__version__)"

Disclaimer: Skorch is released under the BSD 3-Clause License and is maintained by the open-source community. It is provided "as is" without warranty of any kind. Users are responsible for proper configuration, dependency management, and ensuring compatibility with their machine learning workflows. Refer to the official documentation for detailed usage and updates.