Implementation of stochastic variational inference for differentially deep gaussian processes
☆15Nov 5, 2018Updated 7 years ago
Alternatives and similar repositories for differential-dgp
Users that are interested in differential-dgp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Apr 28, 2024Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 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.
- ☆39Apr 29, 2019Updated 7 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆15Nov 28, 2022Updated 3 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 3 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Mar 17, 2026Updated last month
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆16Jul 30, 2019Updated 6 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- 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.
- Variational Autoencoders & Normalizing Flows Project☆18Dec 16, 2016Updated 9 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆44Dec 15, 2025Updated 4 months ago
- ☆25Jun 3, 2018Updated 7 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- ☆28Oct 26, 2022Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 8 years ago
- Kavosh: a new algorithm for finding network motifs☆17Oct 1, 2014Updated 11 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Pytorch implementation of RED-SDS (NeurIPS 2021).☆20Oct 27, 2021Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- ☆12Jul 6, 2022Updated 3 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆32Jul 6, 2017Updated 8 years ago
- ☆35Feb 26, 2020Updated 6 years ago
- Implementation of the GPLVM algorithm in python☆44Nov 23, 2009Updated 16 years ago
- JSON-Serializable IPython Traitlets☆13Apr 7, 2023Updated 3 years ago
- NIST Language i-vector Machine Learning Challenge☆27Sep 15, 2016Updated 9 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆14Aug 5, 2022Updated 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.
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆34Dec 4, 2025Updated 5 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 2023Updated 2 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30May 3, 2018Updated 8 years ago
- Implementation of various generative models☆14Oct 1, 2018Updated 7 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆49Jul 23, 2022Updated 3 years ago
- Multi-task Gaussian Process☆45Jan 20, 2015Updated 11 years ago