Un-Stable-Diffusion

Generating Robotic Simulation Tasks via Large Language Models

Adversary Emulation Framework

Data augmentation for NLP

中文nlp解决方案(大模型、数据、模型、训练、推理)

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

Image to prompt with BLIP and CLIP

Collection of AWESOME vision-language models for vision tasks

A unified evaluation framework for large language models

Easily compute clip embeddings and build a clip retrieval system with them