Molecule-Chemical-Property-Prediction-using-Graph-Isomorphism-and-Contrastive-Pretraining

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Adversary Emulation Framework

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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

PyTorch implementation of adversarial attacks [torchattacks]

Message Passing Neural Networks for Molecule Property Prediction

Must-read Papers on Textual Adversarial Attack and Defense