0.2.0: 70+ pre-trained models, BERT-based attacks, input reduction, maximizing goal functions, and more!

Big Improvements

• Add tons of (over 70!) pre-trained models (#192, see Model Zoo page!)
• Data augmentation integrated into training! (#195, thanks @jakegrigsby)
• Allow for maximization goal functions (#151, thanks @uvafan )

New Attacks

• Add the Improved Genetic Algorithm (#183, thanks @sherlockyyc!)
• Add BAE and BERT-Attack attack recipes (#160)
• Add PWWS attack (#168, thanks @jakegrigsby)
• Add typo-based attack from Pruthi et al. (#191, thanks @jakegrigsby )
• Easy Data Augmentation augmentation recipe (#168, thanks @jakegrigsby)
• Add input reduction attack from Feng et al. (#161, thanks @uvafan)

Smaller Improvements

• more accurate attack recipes for BAE and TextFooler (#199)
• important fixes to model training code (#186, thanks so much @jind11!!)
• abstract classes, better string representations when printing attacks to console (#202)
• genetic algorithm improvements (#160, thanks @jinyongyoo )
• fixes to parallel attacks (#164, thanks @jinyongyoo )
• datasets to test out T5 on seq2seq attacks (#176)

Bug Fixes

• correctly print attack perturbed words in color, even when words are deleted & inserted (#200)
• fix print_step bug with alzantot recipe (#195, thanks @heytitle for reporting!)
• fix some annoying issues with dependency versioning