code for Structured Variational Autoencoders
☆351Aug 22, 2018Updated 7 years ago
Alternatives and similar repositories for svae
Users that are interested in 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:
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Mar 27, 2018Updated 8 years ago
- ☆98Jun 28, 2018Updated 7 years ago
- Structured Inference Networks for Nonlinear State Space Models☆275Aug 29, 2017Updated 8 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,842Mar 18, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Aug 29, 2017Updated 8 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆208Jan 26, 2016Updated 10 years ago
- ☆290Mar 13, 2018Updated 8 years ago
- Gated Attention Reader for Text Comprehension☆190Nov 29, 2017Updated 8 years ago
- Code and models from the paper "Layer Normalization"☆243Nov 8, 2016Updated 9 years ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 7 years ago
- Implementation of a Variational Auto-Encoder in Theano☆383Jul 9, 2017Updated 8 years ago
- Structured Prediction Energy Networks in Torch☆132Feb 8, 2017Updated 9 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆531Nov 22, 2018Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Probabilistic Torch is library for deep generative models that extends PyTorch☆895May 12, 2024Updated last year
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- Deep Generative Models with Stick-Breaking Priors☆95May 23, 2016Updated 9 years ago
- ☆58May 26, 2016Updated 9 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆423Mar 21, 2024Updated 2 years ago
- Gaussian processes in TensorFlow☆1,907May 29, 2025Updated 11 months ago
- Neural module networks☆401Jul 7, 2017Updated 8 years ago
- code for unsupervised learning Neural Hidden Markov Models paper☆70Jan 26, 2021Updated 5 years ago
- Pseudo-Marginal Slice Sampling☆19Jun 8, 2016Updated 9 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational A…☆593Apr 18, 2017Updated 9 years ago
- Review Network for Caption Generation☆181Jan 2, 2018Updated 8 years ago
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- Reimplementation of DRAW☆346Aug 25, 2016Updated 9 years ago
- ☆156Sep 1, 2019Updated 6 years ago
- TensorFlow implementation of Neural Variational Inference for Text Processing☆535Aug 10, 2016Updated 9 years ago
- ☆121Feb 28, 2017Updated 9 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆216Mar 4, 2020Updated 6 years ago
- Bidirectional Helmholtz Machines☆40Nov 28, 2015Updated 10 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm☆403Oct 9, 2019Updated 6 years ago
- ☆151Feb 9, 2018Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Mar 28, 2016Updated 10 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Jul 26, 2016Updated 9 years ago
- PyPGMC: Fast discrete inference submodels for PyMC and PyMC3☆20Jun 7, 2014Updated 11 years ago
- Deep Networks with Stochastic Depth☆478Aug 13, 2018Updated 7 years ago
- Deep generative models for semi-supervised learning.☆109Nov 21, 2016Updated 9 years ago