Locality-iN-Locality

Adversary Emulation Framework

A system for quickly generating training data with weak supervision

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Data augmentation for NLP

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 unified evaluation framework for large language models

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

PyTorch implementation of adversarial attacks [torchattacks]