alexglyndavies / 4M24Links
☆31Updated 3 years ago
Alternatives and similar repositories for 4M24
Users that are interested in 4M24 are comparing it to the libraries listed below
Sorting:
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated 2 months ago
- Code for Gaussian Score Matching Variational Inference☆34Updated 4 months ago
- Matrix-free linear algebra in JAX.☆125Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Simulation-based inference benchmark☆97Updated 5 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 11 months ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆49Updated 2 months ago
- Normalizing Flows using JAX☆83Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- Agustinus' very opiniated publication-ready plotting library☆66Updated last month
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 8 months ago
- Riemannian Optimization Using JAX☆49Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆14Updated 6 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- ☆167Updated last month
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆29Updated 8 months ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆24Updated 4 months ago
- Simulation-based inference in JAX☆32Updated 2 months ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆31Updated 2 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 2 months ago
- Automatic Functional Differentiation in JAX☆72Updated 3 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆48Updated last week
- Jupyter notebooks on inference, regression and classification for MPhil students☆49Updated 8 months ago