Alternatives and similar repositories for HR-VAE

Users that are interested in HR-VAE are comparing it to the libraries listed below

• seraphlabs-ca / SentenceMIM-demo
  This repo contains code to reproduce some of the results presented in the paper "SentenceMIM: A Latent Variable Language Model"
  ☆28Updated 3 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 4 years ago
• harvardnlp / hmm-lm
  ☆42Updated 4 years ago
• BorealisAI / CP-VAE
  On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975
  ☆27Updated 4 years ago
• dallascard / NLP-power-analysis
  Replication code for "With Little Power Comes Great Responsibility"
  ☆39Updated 4 years ago
• ethanjperez / rda
  Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…
  ☆36Updated 4 years ago
• sarahwie / attention
  Code for EMNLP 2019 paper "Attention is not not Explanation"
  ☆58Updated 4 years ago
• Noahs-ARK / soft_patterns
  Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and No…
  ☆54Updated 2 years ago
• urvashik / lm-context-analysis
  Code for the ACL 2018 paper "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context"
  ☆54Updated 7 years ago
• tom-pelsmaeker / deep-generative-lm
  Code accompanying the paper "Effective Estimation of Deep Generative Language Models".
  ☆25Updated 5 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
• cisnlp / semi-markov-crf
  Code for paper "Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging"
  ☆16Updated 6 years ago
• Sachin19 / seq2seq-con
  Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"
  ☆77Updated 4 years ago
• fallcat / stupidNMT
  Hard-Coded Gaussian Attention for Neural Machine Translation
  ☆36Updated 2 years ago
• yandex-research / graph-glove
  PyTorch code for the EMNLP 2020 paper "Embedding Words in Non-Vector Space with Unsupervised Graph Learning"
  ☆41Updated 4 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
• neulab / lrlm
  Code for the paper "Latent Relation Language Models" at AAAI-20.
  ☆41Updated 4 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 10 months ago
• deep-spin / sparse_text_generation
  ☆19Updated 2 years ago
• variational-attention / tf-var-attention
  Variational Attention for Sequence to Sequence Models
  ☆20Updated 7 years ago
• harvardnlp / cascaded-generation
  Cascaded Text Generation with Markov Transformers
  ☆129Updated 2 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 5 years ago
• DFKI-NLP / lrv
  Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
  ☆12Updated 4 years ago
• seongminp / transformers-into-vaes
  Code for "Finetuning Pretrained Transformers into Variational Autoencoders"
  ☆39Updated 3 years ago
• McGill-NLP / latent-translation
  Code for the paper "Modelling Latent Translations for Cross-Lingual Transfer"
  ☆17Updated 3 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 6 years ago
• pfnet-research / vat_nmt
  Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019
  ☆21Updated 5 years ago
• i-machine-think / diagNNose
  diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
  ☆82Updated last year
• florianmai / emb2emb
  Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'
  ☆43Updated 4 years ago
• mingruimingrui / fast-mosestokenizer
  c++ mosestokenizer
  ☆18Updated last year