Python implementation of the PR-SSM.
☆59Jul 9, 2018Updated 8 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 9 years ago
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 8 years ago
- Gaussian process time-frequency analysis toy examples☆17Apr 5, 2019Updated 7 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 4 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 to related to my NIPS 2016 paper☆10Dec 4, 2016Updated 9 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 10 years ago
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 6 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting☆10Oct 21, 2019Updated 7 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- ☆11Dec 16, 2018Updated 7 years ago
- Analysis tools and models of mouse behavior in a two-armed bandit task as described in Beron et al., 2022☆11Jan 20, 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.
- [ICLR 2023] Choreographer: a world-model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able t…☆43Jun 18, 2024Updated 2 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 5 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated 2 years ago
- 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☆30Nov 30, 2018Updated 7 years ago
- Hierarchical Hidden Markov Model☆12Dec 11, 2022Updated 3 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
- ☆11Jun 8, 2018Updated 8 years ago
- Bayesian learning and inference for state space models☆728May 9, 2025Updated last year
- 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.
- Code release for the ICLR paper☆22Jun 13, 2018Updated 8 years ago
- Heterogeneous Multi-output Gaussian Processes☆55May 4, 2020Updated 6 years ago
- Simple optimal control framework for python☆13Aug 16, 2018Updated 8 years ago
- 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
- ☆24Jan 7, 2026Updated 9 months ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 years ago
- ☆29Jan 8, 2026Updated 9 months ago
- Implementation of Sequential Attend, Infer, Repeat (SQAIR)☆96Apr 9, 2019Updated 7 years ago
- ☆11Jan 23, 2017Updated 9 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Tree-structured recurrent switching linear dynamical systems☆38Jul 13, 2020Updated 6 years ago
- Temporal Predictive Coding For Model-Based Planning In Latent Space (ICML-2021)☆14Jul 22, 2024Updated 2 years ago
- kinematic inference in hierarchical models, intrinsic and extrinsic intentions, human kinematics, obstacle avoidance☆13Nov 7, 2024Updated last year
- Structured Inference Networks for Nonlinear State Space Models☆277Aug 29, 2017Updated 9 years ago
- Receding Horizon Task and Motion Planning☆11Sep 1, 2021Updated 5 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
- Visualize neural networks using TikZ in Julia☆15Jan 29, 2025Updated last year