Robust-SimCLR-via-Adversarial-Meta-Learning

Adversary Emulation Framework

Automated Machine Learning with scikit-learn

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Data augmentation for NLP

A python library for self-supervised learning on images.

TextAttack ? is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

A PyTorch Library for Meta-learning Research

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

A unified evaluation framework for large language models