Example code to speed up GP inference with gradients for high-dimensional inputs.
☆14Jul 12, 2021Updated 5 years ago
Alternatives and similar repositories for gp-derivative
Users that are interested in gp-derivative are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Oct 25, 2021Updated 4 years ago
- a differentiable lensing simulator☆12Jan 18, 2022Updated 4 years ago
- tutorials on shape measurement☆10Jan 5, 2022Updated 4 years ago
- Is there anything we can't make Bayesian?☆16Jun 19, 2025Updated last year
- ☆14Sep 11, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- Implementation of the Time-Variant gas distribution mapping using Gaussian Markov Random Fields☆12Mar 4, 2023Updated 3 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- ☆11Oct 15, 2025Updated 11 months ago
- Code for Gaussian Score Matching Variational Inference☆34Feb 23, 2025Updated last year
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- The public repository about our joint FINN research project☆38Oct 28, 2022Updated 3 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆24Oct 28, 2025Updated 11 months 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.
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- sss - Sparse State-Space and System Analysis Toolbox☆13Aug 17, 2024Updated 2 years ago
- Digital Elevation Models (DEM) with Gaussian Markov Random Fields (GMRF)☆12Jan 9, 2017Updated 9 years ago
- 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
- Safe Reinforcement Learning with Natural Language Constraints☆17Oct 24, 2021Updated 4 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆18Nov 14, 2023Updated 2 years ago
- Differentiable and accelerated wavelet transform on the sphere with JAX☆26May 27, 2025Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆71Jul 17, 2026Updated 2 months ago
- ☆23May 6, 2020Updated 6 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.
- RISC-V-based many-core neuromorphic architecture☆18Aug 1, 2026Updated 2 months ago
- run black on documentation code snippets☆46Oct 5, 2026Updated last week
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆15Apr 20, 2026Updated 5 months ago
- Matlab toolbox for set-oriented numerics in dynamical systems☆20Jun 14, 2024Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 3 years ago
- An experiment: emcee implemented in JAX☆28Jul 1, 2022Updated 4 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆49Nov 11, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 9 years ago
- We present cod-bench containing 12 operators and 10 datasets.☆11Jun 5, 2024Updated 2 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆15Oct 23, 2023Updated 2 years ago
- Implementation and evaluation of Almanac (Automaton/Logic Multi-Agent Natural Actor-Critic), an algorithm for multi-agent reinforcement l…☆10May 5, 2022Updated 4 years ago
- Cards and code to create cards☆19Nov 1, 2024Updated last year
- ☆11Sep 22, 2019Updated 7 years ago
- [AAAI 2024 (Oral)] Safety-MuJoCo Environments.☆12Jun 4, 2024Updated 2 years ago