Structured Inference Networks for Nonlinear State Space Models
☆277Aug 29, 2017Updated 9 years ago
Alternatives and similar repositories for structuredinference
Users that are interested in structuredinference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Markov Models☆135Apr 28, 2019Updated 7 years ago
- code for Structured Variational Autoencoders☆353Aug 22, 2018Updated 8 years ago
- ☆99Jun 28, 2018Updated 8 years ago
- Kalman Variational Auto-Encoder☆143Feb 12, 2019Updated 7 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆58Jul 25, 2024Updated 2 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.
- Code for "Sequential Neural Models with Stochastic Layers"☆118Nov 3, 2016Updated 10 years ago
- ☆14Oct 29, 2018Updated 8 years ago
- ☆578Jan 25, 2025Updated last year
- ☆24May 13, 2018Updated 8 years ago
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…☆18Feb 16, 2021Updated 5 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Mar 6, 2021Updated 5 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Dec 13, 2021Updated 4 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆102Jan 6, 2022Updated 4 years ago
- This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!☆23Nov 15, 2016Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,847Mar 18, 2024Updated 2 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆20Dec 15, 2019Updated 6 years ago
- ☆12May 12, 2025Updated last year
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 7 years ago
- Probabilistic single-cell pseudotime with Edward+Tensorflow☆12Oct 5, 2017Updated 9 years ago
- Variational Information Maximization for Feature Selection☆12Aug 24, 2016Updated 10 years ago
- some tools for gaussian linear dynamical systems☆90May 14, 2018Updated 8 years ago
- Recurrent Switching Linear Dynamical Systems☆129Apr 30, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for Structured Attention Networks https://arxiv.org/abs/1702.00887☆240Apr 3, 2017Updated 9 years ago
- Code for the results of the Paper:☆21May 17, 2018Updated 8 years ago
- Collapsed Variational Bayes☆72Sep 27, 2019Updated 7 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆132Aug 29, 2017Updated 9 years ago
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆528Nov 22, 2018Updated 7 years ago
- Predictive State Recurrent Neural Networks☆18May 18, 2020Updated 6 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆194Jun 29, 2014Updated 12 years ago
- Implementation of a Variational Auto-Encoder in Theano☆384Jul 9, 2017Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Aug 2, 2024Updated 2 years ago
- Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.☆15Jan 15, 2023Updated 3 years ago
- Tree-structured recurrent switching linear dynamical systems☆38Jul 13, 2020Updated 6 years ago
- Gaussian processes in TensorFlow☆1,921Oct 15, 2026Updated 2 weeks ago
- Generative random network models and Bayesian inference algorithms☆10May 5, 2016Updated 10 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆423Mar 21, 2024Updated 2 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆87May 8, 2020Updated 6 years ago