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Sparse Autoencoders (SAE) vs CLIP fine-tuning fun.
Generating Robotic Simulation Tasks via Large Language Models
Adversary Emulation Framework
A collection of AWESOME things about domian adaptation
Data augmentation for NLP
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
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