bwengals

bwengals's Stars

• HJakeCunningham/ASVGP

  Actually Sparse Variational Gaussian Processes implemented in GPlow

  Language:Python92

• jessegrabowski/pytensor-ml

  Neural Network package built on Pytensor

  Language:Jupyter Notebook41

• LedgerInvesting/bayesblend

  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stacking, and more!

  Language:Python13

• bambinos/formulae

  Formulas for mixed-effects models in Python

  Language:Python5416

• pymc-labs/CausalPy

  A Python package for causal inference in quasi-experimental settings

  Language:Python83653

• jax-ml/bayeux

  State of the art inference for your bayesian models.

  Language:Python1054

• flatironinstitute/bayes-kit

  Bayesian inference and posterior analysis for Python

  Language:Python413

• dfm/extending-jax

  Extending JAX with custom C++ and CUDA code

  Language:Python36321

• secondmind-labs/banded_matrices

  Native (C++) implementation of Banded Matrices for TensorFlow

  Language:C++24

• cran/spNNGP

  :exclamation: This is a read-only mirror of the CRAN R package repository. spNNGP — Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes. Homepage: https://www.finley-lab.com/

  Language:C++61

• rgl-epfl/cholespy

  An easily integrable Cholesky solver on CPU and GPU

  Language:C21318

• ConnorDonegan/Stan-IAR

  Spatial intrinsic autoregressive models in Stan

  Language:Stan71

• pymc-devs/nutpie

  Python wrapper for nuts-rs

  Language:Jupyter Notebook949

• katzfuss-group/GPvecchia

  Fast Gaussian-process inference using Vecchia approximations

  Language:R165

• marcinjurek/pyMRA

  multi-resolution approximation for Gaussian processes

  Language:Python3

• jessegrabowski/pymc_statespace

  A system for Bayesian estimation of state space models using PyMC

  Language:Python313

• AaltoPML/spatiotemporal-graph-kernels

  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.

  Language:Python142

• dfm/tinygp

  The tiniest of Gaussian Process libraries

  Language:Python28322

• mars-project/mars

  Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

  Language:Python2.7k325

• relaxdiego/python-based-operator

  A Kubernetes operator written in Python. It's meant as an introduction for those just starting out their journey writing operators.

  Language:Python2414

• hammerlab/kubeface

  python parallel map on kubernetes

  Language:Python345

• pymc-devs/pymc-experimental

  Language:Jupyter Notebook7247

• wesselb/matrix

  Structured matrices

  Language:Python7

• wesselb/lab

  A generic interface for linear algebra backends

  Language:Python675

• matt-graham/mici

  Manifold Markov chain Monte Carlo methods in Python

  Language:Python21127

• aesara-devs/aeppl

  Tools for an Aesara-based PPL.

  Language:Python6321

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.4k1.5k

• sachithgpai/mono-gaussian-processes

  Stan simulations of monotonic and unimodal gaussian processes.

  Language:Jupyter Notebook51

• blackjax-devs/blackjax

  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

  Language:Python76197

• exoplanet-dev/celerite2

  Fast & scalable Gaussian Processes in one dimension

  Language:C++679