Recyclable Gaussian Processes
☆11Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for RecyclableGP
Users that are interested in RecyclableGP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Continual Gaussian Processes☆32Jul 6, 2023Updated 3 years ago
- Hierarchical Change-Point Detection☆17Oct 25, 2018Updated 7 years ago
- Portfolio Construction using Stratified Models☆13Mar 25, 2021Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆55May 4, 2020Updated 6 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆23Jun 22, 2021Updated 5 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.
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- A distributed method for fitting Laplacian regularized stratified models.☆25Mar 1, 2021Updated 5 years ago
- Minimalist version of probml/rebayes☆10Apr 9, 2026Updated 3 months ago
- ☆26Jul 20, 2022Updated 4 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Oct 15, 2020Updated 5 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics☆13May 10, 2021Updated 5 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Oct 30, 2024Updated last year
- Learning Hawkes Processes from a Handful of Events☆13Jul 6, 2023Updated 3 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.
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Oct 11, 2019Updated 6 years ago
- Repository for "Fitting a Kalman Smoother to Data"☆61Feb 22, 2024Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- ☆24Aug 4, 2023Updated 2 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆24Dec 8, 2022Updated 3 years ago
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- Spectral Attention Autoregressive Model (SAAM)☆17Oct 27, 2022Updated 3 years ago
- ☆26Jun 19, 2020Updated 6 years ago
- Nearest Neighbor Kernel Conditional Density Estimation☆12May 9, 2020Updated 6 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.
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆34Oct 7, 2022Updated 3 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 3 years ago
- Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch