Stars
21
Forks
7
Language
C
Last Updated
Jul 19, 2022
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 3 | Conjugate Computation Variational Inference for Correlated Topic Models | Mar 15, 2022 | |
Python | 10 | Code for the paper "Stochastic Variational Inference for Dynamic Correlated Topic Models" | Dec 23, 2021 | |
C++ | 30 | Scalable inference for Correlated Topic Models | Oct 12, 2020 | |
C | 6 | This implements the discrete infinite logistic normal, a Bayesian nonparametric topic model that finds correlated … | Jan 08, 2020 | |
Python | 27 | A Correlated Topic Model implementation in Python. | May 03, 2022 | |
Python | 41 | Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation. | Sep 22, 2022 | |
Java | 150 | Scalable Topic Modeling using Variational Inference in MapReduce | Mar 18, 2022 | |
R | 4 | Correlated topic modeling | Jul 19, 2020 | |
Python | 32 | PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models) | Apr 27, 2022 | |
Python | 33 | PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017) | Aug 21, 2022 | |
Python | 10 | "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick" (NeurIPS 2020) | Sep 17, 2022 | |
Python | 3 | variational inference for covariance learning | Apr 29, 2022 | |
Python | 4 | HNECV: Heterogeneous Network Embedding via Cloud model and Variational inference | Jan 17, 2023 | |
Python | 3 | Topic model: Online Learning for Latent Dirichlet Allocation, in Variational Bayes Algorithm | Oct 31, 2018 | |
Java | 22 | TopicModel4J: A Java Package for Topic Models (Contain LDA, Collapsed Variational Bayesian Inference for LDA, … | Jul 29, 2022 | |
Julia | 6 | Metric Gaussian Variational Inference | Apr 05, 2022 | |
Python | 8 | Multi-resolution Variational Inference | Apr 04, 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 | |
C++ | 146 | Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend … | Jan 01, 2022 | |
None | 2 | Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB | Apr 19, 2022 | |
Python | 90 | PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python | May 14, 2023 | |
MATLAB | 185 | Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB | May 02, 2023 | |
Python | 15 | Official code repository for "Variational Topic Inference for Chest X-Ray Report Generation" (Oral at MICCAI … | May 04, 2023 | |
Shell | 13 | Variational Inference by Policy Search | May 17, 2022 | |
Jupyter Notebook | 3 | Variational inference in generative models | May 20, 2020 | |
Python | 55 | Deep variational inference in tensorflow | Aug 19, 2022 | |
Julia | 4 | Approximate variational inference in Julia | May 22, 2023 | |
R | 12 | A bayesian hierarchical topic model for texts in R. The package implements Grimmer (2010). | Apr 11, 2022 | |
Python | 22 | A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM). | Sep 09, 2022 | |
Python | 14 | Code for "Inference Suboptimality in Variational Autoencoders" | Mar 28, 2023 | |
Julia | 46 | Implementation of variational Bayes inference algorithms | Mar 20, 2023 | |
C++ | 19 | A flexible variational inference LDA library. | Aug 30, 2021 | |
TeX | 299 | This repository stores slides for a tutorial on variational inference for NLP audiences. | Sep 08, 2022 | |
Julia | 74 | A Julia package for variational Bayesian topic modeling. | Sep 10, 2022 | |
Python | 21 | Implementation of "Variational Inference for Monte Carlo Objectives" | Apr 19, 2022 | |
Python | 21 | Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper. | Apr 20, 2021 | |
Python | 2 | Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper. | Apr 15, 2022 | |
Python | 345 | This repository implements the the encoder and decoder model with attention model for OCR | May 26, 2023 | |
MATLAB | 8 | Contains MATLAB code for the variational radar model | Aug 20, 2022 | |
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 | |
C | 153 | This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic … | Feb 28, 2022 | |
C | 3 | Variational bayesian model selection for Gaussian mixture model | Oct 03, 2020 | |
Python | 541 | TensorFlow implementation of Neural Variational Inference for Text Processing | Jul 26, 2022 | |
Matlab | 7 | Neural Variational Inference and Learning for Sigmoid Belief Network | Mar 24, 2022 | |
Python | 15 | Code for VIREL: A Variational Inference Framework for Reinforcement Learning | Jan 11, 2023 | |
MATLAB | 14 | The COntextual INference (COIN) model | Mar 10, 2023 | |
Python | 7 | Inference Model for BertSum | Nov 17, 2021 |