Structured Inference Networks for Nonlinear State Space Models
☆277Aug 29, 2017Updated 8 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 7 years ago
- ☆98Jun 28, 2018Updated 8 years ago
- Kalman Variational Auto-Encoder☆142Feb 12, 2019Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆118Nov 3, 2016Updated 9 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.
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆58Jul 25, 2024Updated 2 years ago
- ☆14Oct 29, 2018Updated 7 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆292Dec 13, 2021Updated 4 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Jun 7, 2018Updated 8 years ago
- ☆580Jan 25, 2025Updated last year
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 years ago
- ☆12May 12, 2025Updated last year
- 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
- This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!☆23Nov 15, 2016Updated 9 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Implementation of a Variational Auto-Encoder in Theano☆383Jul 9, 2017Updated 9 years ago
- ☆24May 13, 2018Updated 8 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated 2 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆529Nov 22, 2018Updated 7 years ago
- Probabilistic single-cell pseudotime with Edward+Tensorflow☆12Oct 5, 2017Updated 8 years ago
- Recurrent Switching Linear Dynamical Systems☆129Apr 30, 2023Updated 3 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Aug 29, 2017Updated 8 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆426Mar 21, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Breze with all the stuff.☆95Sep 2, 2016Updated 9 years ago
- Collapsed Variational Bayes☆72Sep 27, 2019Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆39Jul 13, 2020Updated 6 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Mar 6, 2021Updated 5 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 9 years ago
- ☆291Mar 13, 2018Updated 8 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64May 27, 2016Updated 10 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
- Code and webpages for our study on teaching humans to defer to an AI☆12Nov 6, 2023Updated 2 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.
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Aug 2, 2024Updated 2 years ago
- VAEs on Sparse Data☆12Oct 15, 2017Updated 8 years ago
- Input Convex Neural Networks☆317Mar 20, 2019Updated 7 years ago
- Continuous-time Markov model with discrete observations☆24May 3, 2023Updated 3 years ago
- Code for Structured Attention Networks https://arxiv.org/abs/1702.00887☆240Apr 3, 2017Updated 9 years ago
- Gaussian processes in TensorFlow☆1,916Updated this week
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆67Apr 29, 2019Updated 7 years ago