akashgit / autoencoding_vi_for_topic_models
Tensorflow implementation for prodLDA and NVLDA.
☆252Updated 3 years ago
Alternatives and similar repositories for autoencoding_vi_for_topic_models:
Users that are interested in autoencoding_vi_for_topic_models are comparing it to the libraries listed below
- PyTorch implementation of AVITM☆158Updated 6 years ago
- neural variational document model☆131Updated 7 years ago
- Neural models for documents with metadata☆103Updated 4 years ago
- Python interface for https://github.com/dice-group/Palmetto☆40Updated 2 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 6 years ago
- Computation of the semantic interpretability of topics produced by topic models.☆180Updated 7 years ago
- ☆141Updated 5 years ago
- Tensorflow code to train TDLM☆137Updated 6 years ago
- Gaussian word embeddings☆190Updated 6 years ago
- ☆132Updated 3 years ago
- PyTorch implementations of NVDM, GSM, NTM, NTMR☆74Updated 5 years ago
- Bayesian Skip-gram model☆47Updated 4 years ago
- Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)☆69Updated 4 years ago
- Cython implementations of Gibbs sampling for supervised LDA☆61Updated 7 years ago
- ☆196Updated 6 years ago
- Implementation of A Structured Self-attentive Sentence Embedding☆108Updated 6 years ago
- Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations☆185Updated 4 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆168Updated 6 years ago
- Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"☆142Updated last year
- ICLR 2018 Quick-Thought vectors☆204Updated 5 years ago
- Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model☆149Updated 2 years ago
- Nonparametric Topic Modeling with Word Vectors☆73Updated 7 years ago
- Source code for paper "Topic Modeling with Wasserstein Autoencoders".☆41Updated 5 years ago
- Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)☆178Updated 7 years ago
- This repository stores slides for a tutorial on variational inference for NLP audiences.☆298Updated 5 years ago
- PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)☆36Updated 2 years ago
- ☆153Updated 6 years ago
- Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)☆61Updated 2 years ago
- Bayesian Deep Active Learning for Natural Language Processing Tasks☆147Updated 6 years ago
- ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)☆147Updated 6 years ago