


Recently added ecosystem projects
From private AI to quantum computing, we’ve seen the community continue to expand into new and interesting areas. The latest projects include:


Advertorch: A Python toolbox for adversarial robustness research. The primary functionalities are implemented in PyTorch. Specifically, AdverTorch contains modules for generating adversarial perturbations and defending against adversarial examples, as well as scripts for adversarial training.


botorch: A modular and easily extensible interface for composing Bayesian optimization primitives, including probabilistic models, acquisition functions, and optimizers.


Skorch: A high-level library for PyTorch that provides full scikit-learn compatibility.

