Python implementation of the PR-SSM.
☆58Jul 9, 2018Updated 7 years ago
Alternatives and similar repositories for PR-SSM
Users that are interested in PR-SSM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python library for Recurrent Gaussian Processes☆22Oct 20, 2017Updated 8 years ago
- Gaussian Processes for Sequential Data☆19Dec 12, 2020Updated 5 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 7 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 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.
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Code to related to my NIPS 2016 paper☆10Dec 4, 2016Updated 9 years ago
- Recurrent Switching Linear Dynamical Systems☆121Apr 30, 2023Updated 2 years ago
- ☆16Sep 26, 2017Updated 8 years ago
- State space modeling with recurrent neural networks☆45Mar 30, 2018Updated 8 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Dec 19, 2022Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 years ago
- ☆72Mar 1, 2021Updated 5 years ago
- Gaussian process time-frequency analysis toy examples☆17Apr 5, 2019Updated 7 years ago
- ☆11Jun 8, 2018Updated 7 years ago
- Tree-structured recurrent switching linear dynamical systems☆39Jul 13, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…☆14Mar 21, 2019Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Code of the paper "Universal Morphology Control via Contextual Modulation" at ICML 2023☆13Aug 3, 2023Updated 2 years ago
- Code release for the paper "Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control"☆17Apr 9, 2024Updated 2 years ago
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- Matlab Code for Variational Gaussian Copula Inference☆17Mar 15, 2016Updated 10 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Jan 27, 2019Updated 7 years ago
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32May 9, 2020Updated 5 years ago
- Hierarchical Hidden Markov Model☆11Dec 11, 2022Updated 3 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.
- [NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual…☆14Jan 22, 2024Updated 2 years ago
- System Identification with LSTM networks☆14Jul 6, 2023Updated 2 years ago
- Theano-based Deep Learning library (convnets, recurrent neural networks, and more).☆14Aug 2, 2017Updated 8 years ago
- Code for the paper "Molecule Design by Latent Space Energy-based Modeling and Gradual Distribution Shifting" in UAI 2023☆15Nov 15, 2023Updated 2 years ago
- ☆12Apr 12, 2020Updated 6 years ago
- ☆39Apr 5, 2024Updated 2 years ago
- Supporting material for "Deep Stochastic Radar Models," submitted to IV 2017☆17May 1, 2019Updated 6 years ago