pmorenoz / HierCPD
Hierarchical Change-Point Detection
☆13Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for HierCPD
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- Recyclable Gaussian Processes☆11Updated last year
- Continual Gaussian Processes☆31Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- ☆12Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆21Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Updated 3 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Updated 5 years ago
- Variational Fourier Features☆83Updated 3 years ago
- ☆12Updated last year
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 9 months ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 4 years ago
- Python code for SGMCMC for Time Series SSMs☆11Updated 3 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 3 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- python code for kernel methods☆38Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- Code for AutoGP☆26Updated 5 years ago
- ☆23Updated last year
- A distributed method for fitting Laplacian regularized stratified models.☆25Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 5 months ago
- Code for Probabilistic Sequential Matrix Factorization☆15Updated 3 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆61Updated 3 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆22Updated 6 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago