Clustering time series using Gaussian processes and Variational Bayes.
☆39May 6, 2020Updated 5 years ago
Alternatives and similar repositories for GPclust
Users that are interested in GPclust are comparing it to the libraries listed below
Sorting:
- Collapsed Variational Bayes☆72Sep 27, 2019Updated 6 years ago
- Some time series vectorization methods which could give better representation for classification / clustering or other analysis.☆11Jan 4, 2016Updated 10 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24May 2, 2018Updated 7 years ago
- Collection of resources from each meetup event☆13Nov 26, 2020Updated 5 years ago
- ☆12Feb 7, 2017Updated 9 years ago
- Source code for SimBac, a bacterial genome simulator☆14Sep 20, 2024Updated last year
- TensorFlow implementation of CapsNet☆10Apr 3, 2020Updated 5 years ago
- Variational Fourier Features☆87Jun 16, 2021Updated 4 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Jun 30, 2025Updated 8 months ago
- ☆27Apr 13, 2015Updated 10 years ago
- Code for the Kaggle Marinexplore challenge☆17Apr 8, 2013Updated 12 years ago
- ☆10Jun 8, 2017Updated 8 years ago
- Repository for Chained Gaussian Processes☆14Apr 12, 2016Updated 9 years ago
- a deep recurrent model for exchangeable data☆34Jul 1, 2020Updated 5 years ago
- C++ code for a reversible jump Markov chain Monte Carlo algorithm to sample changepoints☆16Feb 14, 2019Updated 7 years ago
- Implementation of the GPLVM algorithm in python☆44Nov 23, 2009Updated 16 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
- Code and data for bike forecast post☆17Mar 24, 2015Updated 10 years ago
- ☆16Sep 26, 2017Updated 8 years ago
- A tensorflow library for building all kinds of models☆70Jun 30, 2021Updated 4 years ago
- changepoint detection for Bayesian models☆20Nov 7, 2014Updated 11 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Jul 8, 2024Updated last year
- Variational Sparse Spectrum Gaussian Process toolkit☆22Apr 7, 2015Updated 10 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Feb 29, 2016Updated 10 years ago
- Randomized embeddings for extreme learning☆24Nov 17, 2015Updated 10 years ago
- A short course on temporal point process and modeling irregular time series☆21Nov 20, 2020Updated 5 years ago
- Gaussian processes in TensorFlow☆1,901May 29, 2025Updated 9 months ago
- This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to…☆18Jul 18, 2016Updated 9 years ago
- Heterogeneous Multi-output Gaussian Processes☆54May 4, 2020Updated 5 years ago
- Recurrent Switching Linear Dynamical Systems☆117Apr 30, 2023Updated 2 years ago
- Predictive analatics using deepLearning4j and Spark☆26Dec 12, 2016Updated 9 years ago
- Scripts to explore and visualize distributional semantic models using graphs.☆24Sep 19, 2017Updated 8 years ago
- Tool for exploring probability distributions.☆24Dec 18, 2024Updated last year
- PyTorch implementation of the Covariate-GPLVM☆25Mar 1, 2020Updated 6 years ago
- ☆25Jun 5, 2015Updated 10 years ago
- Convex Polytope Machine☆25Feb 4, 2015Updated 11 years ago
- collaborative less-is-more filtering☆38Jul 13, 2017Updated 8 years ago
- BOPP: Bayesian Optimization for Probabilistic Programs☆114Nov 9, 2017Updated 8 years ago
- Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis☆28Dec 18, 2022Updated 3 years ago