PyTorchAVITM

PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)

Stars

33

Forks

1

Language

Python

Last Updated

Aug 21, 2022

Similar Repos
Repo Language Stars Description Updated At
Python 32 PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models) Apr 27, 2022
Python 3 Conjugate Computation Variational Inference for Correlated Topic Models Mar 15, 2022
Python 9 PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020 Jun 10, 2022
Python 10 Code for the paper "Stochastic Variational Inference for Dynamic Correlated Topic Models" Dec 23, 2021
Python 23 PyTorch implementation of Variational Diffusion Models. May 11, 2023
Jupyter Notebook 3 Variational inference in generative models May 20, 2020
Python 33 implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow Jul 01, 2022
Python 9 PyTorch implementation of Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Feb 10, 2021
C 21 This implements variational inference for the correlated topic model. Jul 19, 2022
Java 150 Scalable Topic Modeling using Variational Inference in MapReduce Mar 18, 2022
C++ 30 Scalable inference for Correlated Topic Models Oct 12, 2020
Python 71 Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow" Apr 01, 2023
Python 52 Topic Inference with Zeroshot models Aug 06, 2022
Matlab 8 This is the demo code for "WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling" Aug 19, 2021
Jupyter Notebook 2 PyTorch implementation of the paper "AutomaticStructured Variational Inference" (https://arxiv.org/abs/2002.00643) May 20, 2022
Julia 46 Implementation of variational Bayes inference algorithms Mar 20, 2023
Python 4 Optimize PyTorch Models for faster inference Jun 22, 2022
Python 6 Size inference and pipeline notation for PyTorch models. Sep 10, 2021
Python 21 Implementation of "Variational Inference for Monte Carlo Objectives" Apr 19, 2022
Python 4 Variational Neural Networks Pytorch implementation Mar 11, 2023
Python 8 A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et … Mar 21, 2023
Python 2 A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on … Feb 26, 2019
Python 541 TensorFlow implementation of Neural Variational Inference for Text Processing Jul 26, 2022
C++ 146 Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend … Jan 01, 2022
Jupyter Notebook 2 PyTorch implementation of Variational Auto-encoder Jul 26, 2022
Python 57 pytorch implementation of grammar variational autoencoder May 20, 2023
C 16 Includes Code for Inference and Evaluation of Topic Models for Selectional Preferences Dec 01, 2021
Python 2 Models for student-item response data leveraging latent factorization and stochastic variational inference. Feb 27, 2022
Python 7 TensorFlow implementation of "Variational Inference with Normalizing Flows" Jun 08, 2022
Python 12 [TNNLS, to appear] FET-LM: Flow Enhanced Variational Auto-Encoder for Topic-Guided Language Modeling PyTorch Implementation Mar 27, 2023
Python 49 Pytorch Implementation of variational auto-encoder for MNIST Sep 04, 2022
Python 4 PyTorch implementation of DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection Jan 26, 2022
Python 3 variational inference for covariance learning Apr 29, 2022
Python 41 Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation. Sep 22, 2022
Jupyter Notebook 31 PyTorch implementation of Stein Variational Gradient Descent Apr 20, 2023
Python 138 Pytorch implementation of Deep Variational Information Bottleneck May 11, 2023
Python 323 Pytorch implementation of Hyperspherical Variational Auto-Encoders Apr 30, 2023
Jupyter Notebook 359 Implementation of various topic models Aug 12, 2022
Python 21 Posterior inference in topic models with provably guaranteed algorithms Nov 15, 2020
None 2 Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric" Nov 11, 2019
Python 37 Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric" May 27, 2023
Python 18 PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17] Apr 22, 2023
Jupyter Notebook 4729 A probabilistic programming language in TensorFlow. Deep generative models, variational inference. Aug 31, 2022
Python 3 Networks and inference scripts for PyTorch models used in our paper. Mar 02, 2022
Python 2 Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models Feb 03, 2023
Python 5 Variational inference for nonlinear differential equation Mar 08, 2022
Python 41 Variational inference for hierarchical dynamical systems Jun 08, 2022
Python 15 Deep variational inference library for Keras Apr 01, 2021
Jupyter Notebook 3 PyTorch Implementation of VGAN (Variational Generative Adversarial Network) Jul 14, 2021
Python 15 Model zoo for topic models, neural topic models, contextual embeddings for topic models ... Sep 22, 2022