secondmind-labs / triesteLinks
A Bayesian optimization toolbox built on TensorFlow
☆240Updated last month
Alternatives and similar repositories for trieste
Users that are interested in trieste are comparing it to the libraries listed below
Sorting:
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Gaussian processes in JAX and Flax.☆551Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆116Updated last week
- Gaussian process modelling in Python☆225Updated 11 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- ☆155Updated 3 years ago
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆638Updated last month
- ☆212Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Probabilistic Numerics in Python.☆459Updated 4 months ago
- The tiniest of Gaussian Process libraries☆324Updated this week
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 6 months ago
- SAASBO: a package for high-dimensional bayesian optimization☆47Updated 4 years ago
- Gaussian Processes for Experimental Sciences☆228Updated 4 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆97Updated 6 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆209Updated 3 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 5 years ago
- Fully and Partially Bayesian Neural Nets☆77Updated 6 months ago
- Multi-Output Gaussian Process Toolkit☆178Updated 5 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆463Updated last year
- Bayesian algorithm execution (BAX)☆53Updated 4 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆491Updated last week
- DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning☆301Updated this week
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Turning SymPy expressions into PyTorch modules.☆152Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Matrix-free linear algebra in JAX.☆148Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆353Updated 6 months ago
- Bayesian inference with Python and Jax.☆34Updated 2 years ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆284Updated last month