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30 search results found

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Neural Tangents ⭐ 2,149

Fast and Easy Infinite Neural Networks in Python

Gaussian processes in JAX.

Stheno.jl ⭐ 327

Probabilistic Programming with Gaussian processes in Julia

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Exoplanet ⭐ 200

Fast & scalable MCMC for all your exoplanet needs!

Gaussian Processes for Experimental Sciences

Gpstuff ⭐ 144

GPstuff - Gaussian process models for Bayesian analysis

Survival Analysis Using Deep Learning ⭐ 138

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Aboleth ⭐ 125

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Temporalgps.jl ⭐ 104

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

A library of scalable Bayesian generalised linear models with fancy features

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Gaussian Process Model Building Interface

Approxposterior ⭐ 38

A Python package for approximate Bayesian inference and optimization using Gaussian processes

Hiqga.jl ⭐ 32

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Autogp.jl ⭐ 30

Automated Bayesian model discovery for time series data

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Code for AutoGP

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

Deep Gaussian Process ⭐ 12

🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0

State-space deep Gaussian processes in Python and Matlab

Minimal Gaussian process library in JAX with a simple (custom) approach to state management.

🎶 A collection of études on probabilistic models.

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Bayesian_smoothing_eyemovement ⭐ 6

Repository of my talk for Bayes@Lund 2017

Gaussian Process tiny explorer

Related Searches

Python Bayesian Inference (264)

Python Gaussian Processes (216)

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