sotakao

geomstats

Computations and statistics on manifolds with geometric structures.

lightning-uq-box

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

PhiFlow

A differentiable PDE solving framework for machine learning

GPJax

Gaussian processes in JAX.

GaussianProcessPDEs

An integrated demo: Gaussian processes for PDEs and inverse problems

imv-gps

Code for the paper "Intrinsic Gaussian Vector Fields on Manifolds" by Robert-Nicoud, Krause, and Borovitskiy

DAPPER

Data Assimilation with Python: a Package for Experimental Research

TopoNetX

Computing on Topological Domains

Graph-Gaussian-Processes

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

iter-inla

A framework for state and parameter estimation in nonlinear dynamical systems using iterated INLA.

pydec

PyDEC: A Python Library for Discretizations of Exterior Calculus for simplicial complexes of any dimension embedded or not and for cubical complexes of any dimension. Implements discrete exterior derivative as coboundary, a Delaunay Hodge star operator and lowest order Whitney forms.

GPSat

Python package to interpolate nonstationary geospatial fields from observation data using local Gaussian process models

ASVGP

Actually Sparse Variational Gaussian Processes implemented in GPlow

Vit-Sea-ice-and-lead-classifier

GeometricKernels

Geometric kernels on manifolds, meshes and graphs

GPsOnSpheres

Fast Gaussian Processes on Spheres

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

statsmodels

Statsmodels: statistical modeling and econometrics in Python

OptimalInterpolation

Combining ESA's CryoSat-2 and Sentinel-3 satellite altimeters to produce daily pan-Arctic radar freeboard estimates

OptimalInterpolation

Combining ESA's CryoSat-2 and Sentinel-3 satellite altimeters to produce daily pan-Arctic radar freeboard estimates

MScProject

CSML-MSc-Project

Repository for UCL MSc CSML Project

findiff

Python package for numerical derivatives and partial differential equations in any number of dimensions.

EPyStateEstimator

Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

BayesNewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

youtube-dl

Command-line program to download videos from YouTube.com and other video sites

ExtrinsicGaugeIndependentVectorGPs

A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes

GPflow

Gaussian processes in TensorFlow

boundary-gp

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features