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The Top 23 Variational Inference Open Source Projects

Open source projects categorized as Variational Inference
Categories > Machine Learning > Variational Inference
Lagvae ⭐ 22
Lagrangian VAE
most recent commit 6 years ago
Simplelda R ⭐ 21
a simple R implementation of variational inference for LDA
most recent commit 10 years ago
Phylostan ⭐ 21
Phylogenetic inference using Stan
total releases 7most recent commit 6 months ago
Generative Modeling Explained ⭐ 21
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
most recent commit a year ago
Lgamma ⭐ 21
Implementations of polygamma, lgamma, and beta functions for PyTorch
most recent commit 7 years ago
Selsum ⭐ 21
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
most recent commit 2 years ago
Causalskilllearning ⭐ 21
Codebase for project about unsupervised skill learning via variational inference and causality.
most recent commit 3 years ago
Emssl ⭐ 21
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
most recent commit a year ago
Gradient Boosted Normalizing Flows ⭐ 21
We got a stew going!
most recent commit 2 years ago
Susiepca ⭐ 20
Scalable Ultra-Sparse Bayesian PCA
most recent commit 3 months ago
Noisy K Fac ⭐ 20
Natural Gradient, Variational Inference
most recent commit 4 years ago
Deep_variational_information_bottleneck ⭐ 20
Tensorflow implementation of deep variational information bottleneck
most recent commit 2 years ago
Mongeampereflow ⭐ 20
Continuous-time gradient flow for generative modeling and variational inference
most recent commit 6 years ago
Autoreparam ⭐ 20
Automatic Reparameterisation of Probabilistic Programs
most recent commit 4 years ago
Voila ⭐ 19
Variational Inference for Langevin Equations
most recent commit 7 years ago
Ima Vae ⭐ 19
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
most recent commit 10 months ago
Graphbtm ⭐ 19
Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
most recent commit 5 years ago
Graph Generation Vi ⭐ 19
This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"
most recent commit 2 years ago
Vimco ⭐ 18
Implementation of "Variational Inference for Monte Carlo Objectives"
most recent commit 4 years ago
Variational_gradient_matching_for_dynamical_systems ⭐ 18
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
most recent commit 5 years ago
Optimisation Python ⭐ 18
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
most recent commit 3 months ago
Ctm C ⭐ 18
This implements variational inference for the correlated topic model.
most recent commit 10 years ago
Trident ⭐ 18
Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification
most recent commit a year ago
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