All Categories → Machine Learning → gaussian-processes

Top 73 gaussian-processes open source projects

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

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deep-learning machine-learning computer-vision neural-network natural-language-processing representation-learning semi-supervised-learning convolutional-networks neural-machine-translation gaussian-processes variational-inference

Bayesian Optimization

Python code for bayesian optimization using Gaussian processes

✭ 245

jupyter-notebook optimization hyperparameter-optimization gaussian-processes

Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

✭ 233

julia machine-learning bayesian-inference gaussian-processes

Pilco

Bayesian Reinforcement Learning in Tensorflow

✭ 222

python machine-learning tensorflow reinforcement-learning gaussian-processes

Keras Gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

✭ 218

python machine-learning tensorflow keras neural-networks theano gaussian-processes

Gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

✭ 2,622

python pytorch gaussian-processes gpu-acceleration

Cornell Moe

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

✭ 198

machine-learning optimization hyperparameter-optimization bayesian gaussian-processes bayesian-optimization

Dynaml

Scala Library/REPL for Machine Learning Research

✭ 195

scala machine-learning tensorflow classification machine-learning-algorithms repl regression gaussian-processes

Gpmp2

Gaussian Process Motion Planner 2

✭ 161

robotics inference gaussian-processes motion-planning

Btb

A simple, extensible library for developing AutoML systems

✭ 159

python automl hyperparameter-optimization gaussian-processes

Limbo

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)

✭ 157

gaussian-processes bayesian-optimization

Celerite

Scalable 1D Gaussian Processes in C++, Python, and Julia

✭ 155

python cpp julia time-series astronomy gaussian-processes stars

Miscellaneous R Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

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python r matlab julia zip bayesian gaussian-processes stan pca

Safe learning

Safe reinforcement learning with stability guarantees

✭ 140

python reinforcement-learning gaussian-processes dynamic-programming

Survival Analysis Using Deep Learning

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

✭ 139

deep-learning machine-learning time-series bayesian-inference gaussian-processes healthcare

Pysot

Surrogate Optimization Toolbox for Python

✭ 136

jupyter-notebook optimization asynchronous gaussian-processes bayesian-optimization

Aboleth

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

✭ 127

python deep-learning tensorflow deep-neural-networks bayesian-inference gaussian-processes

Vbmc

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

✭ 123

matlab machine-learning data-analysis bayesian-inference gaussian-processes variational-inference

Exoplanet

Fast & scalable MCMC for all your exoplanet needs!

✭ 122

python time-series bayesian-inference astronomy gaussian-processes mcmc time-series-analysis

Nasbot

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

✭ 120

python neural-architecture-search gaussian-processes bayesian-optimization

Stheno

Gaussian process modelling in Python

✭ 118

python machine-learning gaussian-processes

Bcpd

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

✭ 116

c unsupervised-learning point-cloud bayesian-inference gaussian-processes bayesian-statistics variational-inference matching

Gpstuff

GPstuff - Gaussian process models for Bayesian analysis

✭ 106

matlab classification regression bayesian-inference bayesian gaussian-processes mcmc variational-inference spatial-analysis bayesian-optimization octave

Gpflow

Gaussian processes in TensorFlow

✭ 1,547

python Makefile deep-learning machine-learning tensorflow ml gaussian-processes bayesian-statistics variational-inference markov-chain-monte-carlo stochastic-processes gp gpflow

Augmentedgaussianprocesses.jl

Gaussian Process package based on data augmentation, sparsity and natural gradients

✭ 99

julia classification gps svm process gaussian-processes

Neural Tangents

Fast and Easy Infinite Neural Networks in Python

✭ 1,357

jupyter-notebook neural-networks kernel bayesian-inference gaussian-processes gradient-descent

Safeopt

Safe Bayesian Optimization

✭ 90

python reinforcement-learning robotics optimization gaussian-processes

Gaussianprocesses

Python3 project applying Gaussian process regression for forecasting stock trends

✭ 78

python machine-learning regression gaussian-processes stock-price-prediction

La3dm

Learning-aided 3D mapping

✭ 77

dataset mapping gaussian-processes

Bayesian Machine Learning

Notebooks about Bayesian methods for machine learning

✭ 1,202

jupyter-notebook machine-learning variational-autoencoder gaussian-processes bayesian-optimization bayesian-methods

Pycrop Yield Prediction

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

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python deep-learning machine-learning remote-sensing gaussian-processes

Neural Kernel Network

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

✭ 67

python machine-learning gaussian-processes

Post Visual Exploration Gaussian Processes

A Visual Exploration of Gaussian Processes

✭ 61

html visualization article gaussian-processes

Deep Kernel Gp

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

✭ 58

python deep-learning machine-learning neural-network deep-neural-networks neural-networks deeplearning gaussian-processes

Ts Emo

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

✭ 39

matlab machine-learning gaussian-processes bayesian-optimization

Gp Infer Net

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

✭ 37

python gaussian-processes variational-inference

Epinow2

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

✭ 36

html open-source rstats gaussian-processes stan

Ipynotebook machinelearning

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

✭ 27

machine-learning bayesian-inference gaussian-processes ipython-notebook

Bayesianoptimization

A Python implementation of global optimization with gaussian processes.

✭ 5,611

python optimization simple gaussian-processes bayesian-optimization

Gaussianblur

An easy and fast library to apply gaussian blur filter on any images. 🎩

✭ 473

java android image-processing image canvas filter filters image-compression blur gaussian-processes bitmap drawable

Pykrige

Kriging Toolkit for Python

✭ 415

python interpolation gaussian-processes spatial-analysis

George

Fast and flexible Gaussian Process regression in Python

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python cpp time-series gaussian-processes

Max-value-Entropy-Search

Max-value Entropy Search for Efficient Bayesian Optimization

✭ 43

matlab c machine-learning optimization mes gaussian-processes entropy-search

pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

✭ 32

Jupyter Notebook python pytorch gaussian-processes gaussian-process-regression gaussian-process

periodicity

Useful tools for periodicity analysis in time series data.

✭ 15

python time-series gaussian-processes spectral-analysis wavelets periodicity-analysis

k2sc

K2 systematics correction using Gaussian processes

✭ 15

Jupyter Notebook python astronomy exoplanets kepler k2-light-curves exoplanet-transits gaussian-processes k2 mast-light-curve

models

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

✭ 24

Jupyter Notebook python time-series survey-data bayesian-inference pymc3 gaussian-processes bayesian-statistics polling-data electoral-forecasting-models

FBNN

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

✭ 67

python deep-learning tensorflow bayesian-inference gaussian-processes

AutoForce

Sparse Gaussian Process Potentials

✭ 17

python chemistry physics density-functional-theory molecular-dynamics-simulation machinelearning gaussian-processes metadynamics sparse-gaussian-processes ab-initio-simulations metadynamics-simulations

hyper-engine

Python library for Bayesian hyper-parameters optimization

✭ 80

python data-science machine-learning big-data deep-learning neural-network tensorflow model-selection hyperparameter-optimization convolutional-neural-networks gaussian-processes bayesian-optimization random-search optimization-algorithms

mnist-challenge

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

✭ 68

Jupyter Notebook python machine-learning deep-neural-networks kernel deep-learning neural-network mnist pca logistic-regression rbm gaussian-processes data-augmentation k-nn

lgpr

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.

✭ 22

C++r Stan longitudinal-data bayesian-inference stan gaussian-processes r-packages

models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.