Alternatives and similar repositories for structVAE

Users that are interested in structVAE are comparing it to the libraries listed below

• jihunchoi / unsupervised-treelstm
  ☆121Updated 6 years ago
• yikangshen / PRPN
  Parsing Reading Predict Network
  ☆97Updated 6 years ago
• ChunchuanLv / AMR_AS_GRAPH_PREDICTION
  ☆54Updated 4 years ago
• wellecks / nonmonotonic_text
  Non-Monotonic Sequential Text Generation (ICML 2019)
  ☆72Updated 6 years ago
• jxhe / struct-learning-with-flow
  PyTorch Implementation of "Unsupervised Learning of Syntactic Structure with Invertible Neural Projections" (EMNLP 2018)
  ☆69Updated 5 years ago
• mingdachen / disentangle-semantics-syntax
  Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)
  ☆67Updated 4 years ago
• sinantie / NeuralAmr
  Sequence-to-sequence models for AMR parsing and generation
  ☆70Updated 5 years ago
• mingdachen / vsl
  Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)
  ☆34Updated 6 years ago
• robinjia / adversarial-squad
  Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)
  ☆118Updated 6 years ago
• ExplorerFreda / TreeEnc
  [EMNLP 2018] On Tree-Based Neural Sentence Modeling.
  ☆64Updated 6 years ago
• nyu-mll / spinn
  NYU ML² work on sentence encoding with tree structure and dynamic graphs
  ☆108Updated 6 years ago
• xinyadu / harvestingQA
  ☆59Updated 7 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
• violet-zct / MSVED-morph-reinflection
  An implementation of semi-supervised VAE for morphology reinflection.
  ☆26Updated 6 years ago
• hantek / distance-parser
  Source code for ``Straight to the Tree: Constituency Parsing with Neural Syntactic Distance'' published at ACL 2018
  ☆63Updated 7 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
• 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 3 years ago
• iesl / diora
  Deep Inside-Outside Recursive Autoencoder
  ☆87Updated 3 years ago
• violet-zct / DeMa-BWE
  NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)
  ☆63Updated 2 years ago
• karlstratos / mmi-tagger
  Maximal Mutual Information (MMI) Tagger
  ☆24Updated 6 years ago
• harvardnlp / urnng
  ☆176Updated 4 years ago
• donglixp / confidence
  ☆25Updated 7 years ago
• pramodkaushik / acl18_results
  Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
  ☆33Updated 6 years ago
• decompositional-semantics-initiative / DNC
  Diverse Natural Language Inference Collection - NLI dataset that can used to evaluate how well models perform distinct types of reasoning…
  ☆36Updated 4 years ago
• Noahs-ARK / SPIGOT
  ☆12Updated 6 years ago
• neulab / neural-lpcfg
  The Return of Lexical Dependencies: Neural Lexicalized PCFGs (TACL)
  ☆33Updated 3 years ago
• kmkurn / pytorch-rnng
  ☆23Updated 7 years ago
• ari-holtzman / l2w
  The Official Repo for "Learning to Write with Cooperative Discriminators"
  ☆57Updated 6 years ago
• harvardnlp / DeepLatentNLP
  ☆61Updated 6 years ago
• bdhingra / quasar
  Datasets for Question Answering by Search and Reading
  ☆69Updated 7 years ago