Alternatives and similar repositories for text-autoencoders

Users that are interested in text-autoencoders are comparing it to the libraries listed below

• cindyxinyiwang / deep-latent-sequence-model
  Pytorch implementation of "A Probabilistic Formulation of Unsupervised Text Style Transfer" by He. et. al. at ICLR 2020
  ☆163Updated 2 years ago
• LC-John / Yahoo-Answers-Topic-Classification-Dataset
  ☆55Updated 7 years ago
• facebookresearch / unlikelihood_training
  Neural Text Generation with Unlikelihood Training
  ☆309Updated 4 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• vineetjohn / linguistic-style-transfer
  Neural network parametrized objective to disentangle and transfer style and content in text
  ☆141Updated 5 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆200Updated 4 years ago
• Nrgeup / controllable-text-attribute-transfer
  Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)
  ☆127Updated 5 years ago
• chrisdonahue / ilm
  Easily fine tune GPT-2 to fill in missing text
  ☆201Updated 2 years ago
• lena-voita / description-length-probing
  This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"
  ☆71Updated last year
• rpryzant / delete_retrieve_generate
  PyTorch implementation of the Delete, Retrieve Generate style transfer algorithm
  ☆132Updated 2 years ago
• kawine / contextual
  How Contextual are Contextualized Word Representations?
  ☆41Updated 5 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• Sachin19 / seq2seq-con
  Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"
  ☆77Updated 4 years ago
• malllabiisc / DiPS
  NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
  ☆68Updated last year
• yala / text_nn
  Text classification models. Used a submodule for other projects.
  ☆68Updated 6 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆99Updated 2 years ago
• rohithreddy024 / VAE-Text-Generation
  Text generation using Variational Auto Encoders based on IMDB review dataset
  ☆70Updated 4 years ago
• mailong25 / meta-learning-bert
  Meta learning with BERT as a learner
  ☆110Updated last year
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• salesforce / GeDi
  GeDi: Generative Discriminator Guided Sequence Generation
  ☆208Updated 3 months ago
• naver / gdc
  Code accompanying our papers on the "Generative Distributional Control" framework
  ☆118Updated 2 years ago
• florianmai / emb2emb
  Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'
  ☆43Updated 4 years ago
• OanaMariaCamburu / e-SNLI
  ☆165Updated 3 years ago
• WHUIR / PPVAE
  The official Keras implementation of ACL 2020 paper "Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-En…
  ☆48Updated 2 years ago
• tommccoy1 / hans
  Heuristic Analysis for NLI Systems
  ☆127Updated 4 years ago
• sosuperic / MeanSum
  ☆114Updated 5 years ago
• fangleai / Implicit-LVM
  This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…
  ☆55Updated 3 years ago
• ShilinHe / interpretableNLP
  A list of publications on NLP interpretability (Welcome PR)
  ☆168Updated 4 years ago
• successar / AttentionExplanation
  ☆315Updated 3 years ago