facebookresearch/vizseq

Interpretability for sequence generation models 🐛 🔍

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

An autoregressive character-level language model for making more things

Deliver safe & effective language models

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Open-source text humanization pipeline with every intermediate step published. Two LLM rewrites at temp 1.3, then two hops across different NMT engines. Four documented methodologies you can read, modify, and run locally.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A curated list of resources dedicated to Natural Language Generation (NLG)