Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
☆27Mar 29, 2019Updated 7 years ago
Alternatives and similar repositories for Variational_Gradient_Matching_for_Dynamical_Systems
Users that are interested in Variational_Gradient_Matching_for_Dynamical_Systems are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- Matlab Code for Variational Gaussian Copula Inference☆18Mar 15, 2016Updated 10 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Jun 23, 2019Updated 6 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Mar 15, 2019Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 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.
- 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
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Jan 16, 2020Updated 6 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- Kalman Filter for ARX or NARX models' parameters estimation.☆15Dec 10, 2019Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆16Jul 30, 2019Updated 6 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- 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.
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 4 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆68Aug 20, 2019Updated 6 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- ☆11Jun 8, 2018Updated 7 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆47Jul 25, 2024Updated last year
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 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
- 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.
- ☆11Jun 17, 2016Updated 9 years ago
- State space modeling with recurrent neural networks☆45Mar 30, 2018Updated 8 years ago
- Lyapunov exponent of maps and ODE in Python 3, example with Henon Map and Lorenz System☆14Nov 6, 2017Updated 8 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Nov 6, 2019Updated 6 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- Robust bayesian online changepoint detection with model selection☆24Dec 1, 2018Updated 7 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Jul 3, 2019Updated 6 years ago
- Randomized Linear Algebra in Python☆13Mar 21, 2017Updated 9 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.
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- Hierarchical Change-Point Detection☆15Oct 25, 2018Updated 7 years ago
- Data Driven Journalism Handbook☆23Sep 23, 2012Updated 13 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval☆12Feb 26, 2019Updated 7 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Nov 21, 2018Updated 7 years ago
- ☆11Sep 18, 2025Updated 7 months ago