Download
Generating adversarial examples for NLP models. TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
Features
- Understand NLP models better by running different adversarial attacks on them and examining the output
- Research and develop different NLP adversarial attacks using the TextAttack framework and library of components
- Augment your dataset to increase model generalization and robustness downstream
- Train NLP models using just a single command (all downloads included!)
- Documentation available
- You should be running Python 3.6+ to use this package
- Pre-trained Models for testing attacks and evaluating constraints
- Visualization options like Weights & Biases and Visdom
- AttackedText, a utility class for strings that includes tools for tokenizing and editing text
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow TextAttack
Other Useful Business Software
Paessler: Easy to Use With Enterprise Power. Free Trial
You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of TextAttack!
