ziatdinovmax / gpaxLinks
Gaussian Processes for Experimental Sciences
☆230Updated 5 months ago
Alternatives and similar repositories for gpax
Users that are interested in gpax are comparing it to the libraries listed below
Sorting:
- Fully and Partially Bayesian Neural Nets☆80Updated 7 months ago
- Spring 2023 seminar on automated experiment☆23Updated 2 years ago
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- A Bayesian optimization toolbox built on TensorFlow☆242Updated 2 months ago
- Experimental design and (multi-objective) bayesian optimization.☆340Updated this week
- ☆41Updated 2 years ago
- Gaussian processes in JAX and Flax.☆561Updated last week
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 11 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆117Updated last month
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆29Updated 4 months ago
- Stochastic Gradient MCMC for Jax☆17Updated 6 months ago
- The materials for the Spring Mathematics in Materials course at the UTK MSE☆49Updated last year
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆254Updated last month
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 7 months ago
- Invariant representation learning from imaging and spectral data☆53Updated last year
- A software package for flexible HPC GPs☆16Updated last month
- Materials for ACerS Automated Experiment Course☆20Updated 2 months ago
- The tiniest of Gaussian Process libraries☆327Updated last week
- Python Library for Generalized Gaussian Process Modeling☆25Updated 8 months ago
- Matrix-free linear algebra in JAX.☆151Updated last week
- FoKL-GP implements Karhunen-Loève decomposed Gaussian processes with built-in forward variable selection. Decomposed GPs are key to embed…☆18Updated this week
- SAASBO: a package for high-dimensional bayesian optimization☆50Updated 4 years ago
- ☆203Updated last month
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Probabilistic Numerics in Python.☆459Updated 5 months ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 3 years ago
- Interpolation and function approximation with JAX☆231Updated last week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year