secondmind-labs / trieste
A Bayesian optimization toolbox built on TensorFlow
☆226Updated this week
Alternatives and similar repositories for trieste:
Users that are interested in trieste are comparing it to the libraries listed below
- Deep GPs built on top of TensorFlow/Keras and GPflow☆122Updated 3 months ago
- Gaussian processes in JAX.☆473Updated last month
- Gaussian process modelling in Python☆220Updated last month
- ☆147Updated 2 years ago
- Pre-trained Gaussian processes for Bayesian optimization☆88Updated last month
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆99Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- ☆188Updated 5 months ago
- Gaussian Processes for Experimental Sciences☆217Updated 2 months ago
- Mathematical operations for JAX pytrees☆196Updated last month
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆615Updated 3 months ago
- The tiniest of Gaussian Process libraries☆300Updated last week
- Bayesian neural network package☆140Updated 3 years ago
- ☆545Updated last month
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆428Updated 4 months ago
- Probabilistic Numerics in Python.☆447Updated 8 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆192Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- Bayesian Optimization using GPflow☆269Updated 4 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆88Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆363Updated 2 weeks ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆255Updated this week
- Solve ODEs fast, with support for PyMC☆112Updated 8 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆68Updated 4 years ago
- Turning SymPy expressions into PyTorch modules.☆144Updated last year
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆69Updated 2 years ago
- ☆129Updated 3 weeks ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆400Updated this week