alpiges's Stars
mwouts/jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
nbQA-dev/nbQA
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
fmarotta/kaobook
A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
f-dangel/backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
probabilistic-numerics/probnum
Probabilistic Numerics in Python.
acerbilab/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
samuelstanton/lambo
Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
secondmind-labs/markovflow
A Tensorflow based library for Time Series Modelling with Gaussian Processes
cagrell/gp_constr
Python model for constrained GP
fidero/gp-derivative
Example code to speed up GP inference with gradients for high-dimensional inputs.
theogf/BayesianQuadrature.jl
Is there anything we can't make Bayesian?
froec/BQonRDM
Repository for the paper "Bayesian Quadrature on Riemannian Data Manifolds"
supportingami/sami-maths-club
A collection of resources for extra-curricular maths clubs. Available for Android, IOS and Web