Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
☆47Mar 27, 2018Updated 8 years ago
Alternatives and similar repositories for vmp-for-svae
Users that are interested in vmp-for-svae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code for Structured Variational Autoencoders☆353Aug 22, 2018Updated 8 years ago
- Code repository for the robust active label correction paper.☆11Apr 12, 2018Updated 8 years ago
- Variational Reinforcement Learning☆18Jul 25, 2024Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for Semi-crowdsourced Clustering with Deep Generative Models☆12Dec 9, 2022Updated 3 years ago
- Open source Java framework to create, process and manage mixtures of exponential family☆14Aug 4, 2015Updated 11 years ago
- code for stochastic expectation propagation☆17Oct 30, 2015Updated 10 years ago
- investigating use of variational auto encoders with multinomial latent variables for unsupervised data.☆25Jun 12, 2017Updated 9 years ago
- Lagrangian VAE☆28Jul 27, 2018Updated 8 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- A toolbox for inference of switching systems for control☆11Aug 23, 2021Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆30May 30, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Probabilistic inference for models of behaviour☆13Mar 5, 2026Updated 7 months ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Feb 24, 2020Updated 6 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆44May 18, 2017Updated 9 years ago
- ☆11Jun 17, 2016Updated 10 years ago
- Contextual Combinatorial Cascading Bandits☆11Jun 30, 2016Updated 10 years ago
- ☆10Feb 3, 2022Updated 4 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆216Mar 4, 2020Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Feb 1, 2020Updated 6 years ago
- Single Cell Analysis course at Cold Spring Harbor Laboratory 2017☆23Oct 19, 2017Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Sep 11, 2019Updated 7 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- ☆42Jul 25, 2018Updated 8 years ago
- ☆37Jul 4, 2019Updated 7 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Aug 2, 2018Updated 8 years ago
- ☆11Updated this week
- ☆11Mar 25, 2021Updated 5 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆27Feb 24, 2020Updated 6 years ago
- ☆17May 24, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Files for Modern Statistical Workflow workshop☆10Jul 16, 2016Updated 10 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 7 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Dec 17, 2019Updated 6 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Apr 1, 2019Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Nov 2, 2017Updated 8 years ago
- Code for Towards Visual Ego-Motion Learning in Robots☆12May 30, 2017Updated 9 years ago