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Open Source Libraries
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Gaussian Processes
145 Open Source Gaussian Processes Software Projects
Free and open source gaussian processes code projects including engines, APIs, generators, and tools.
Numpy Ml
11183 ⭐
Machine learning, in numpy
Bayesianoptimization
5712 ⭐
A Python implementation of global optimization with gaussian processes.
Gpytorch
2661 ⭐
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Gpflow
1574 ⭐
Gaussian processes in TensorFlow
Neural Tangents
1679 ⭐
Fast and Easy Infinite Neural Networks in Python
Bayesian Machine Learning
1373 ⭐
Notebooks about Bayesian methods for machine learning
Gaussianblur
484 ⭐
An easy and fast library to apply gaussian blur filter on any images. 🎩
Pykrige
502 ⭐
Kriging Toolkit for Python
George
399 ⭐
Fast and flexible Gaussian Process regression in Python
Good Papers
261 ⭐
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
Bayesian Optimization
270 ⭐
Python code for bayesian optimization using Gaussian processes
Keras Gp
231 ⭐
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Stheno.jl
304 ⭐
Probabilistic Programming with Gaussian processes in Julia
Dynaml
199 ⭐
Scala Library/REPL for Machine Learning Research
Pilco
261 ⭐
Bayesian Reinforcement Learning in Tensorflow
Cornell Moe
219 ⭐
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Btb
164 ⭐
A simple, extensible library for developing AutoML systems
Celerite
174 ⭐
Scalable 1D Gaussian Processes in C++, Python, and Julia
Gpmp2
198 ⭐
Gaussian Process Motion Planner 2
Resibots Limbo
182 ⭐
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
Miscellaneous R Code
161 ⭐
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 Now almost entirely superseded by the models-by-example repo.
Survival Analysis Using Deep Learning
160 ⭐
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Aboleth
127 ⭐
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Safe_learning
160 ⭐
Safe reinforcement learning with stability guarantees
Nasbot
121 ⭐
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Dme65 Pysot
164 ⭐
Surrogate Optimization Toolbox for Python
Exoplanet
155 ⭐
Fast & scalable MCMC for all your exoplanet needs!
Vbmc
150 ⭐
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Gpstuff
127 ⭐
GPstuff - Gaussian process models for Bayesian analysis
Augmentedgaussianprocesses.jl
121 ⭐
Gaussian Process package based on data augmentation, sparsity and natural gradients
Safeopt
98 ⭐
Safe Bayesian Optimization
Stheno
154 ⭐
Gaussian process modelling in Python
La3Dm
87 ⭐
Learning-aided 3D mapping
Hyper Engine
79 ⭐
Python library for Bayesian hyper-parameters optimization
Gpslam
93 ⭐
Sparse Gaussian Processes for SLAM
Mnist Challenge
67 ⭐
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Neural Kernel Network
66 ⭐
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
Gaussianprocesses
94 ⭐
Python3 project applying Gaussian process regression for forecasting stock trends
Deepcgp
63 ⭐
Deep convolutional gaussian processes.
Post Visual Exploration Gaussian Processes
69 ⭐
A Visual Exploration of Gaussian Processes
Fbnn
67 ⭐
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Universal_head_3Dmm
116 ⭐
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
Revrand
57 ⭐
A library of scalable Bayesian generalised linear models with fancy features
Deep Kernel Transfer
142 ⭐
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Deep Kernel Gp
70 ⭐
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Pycrop Yield Prediction
80 ⭐
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
Arm Software Mango
116 ⭐
Parallel Hyperparameter Tuning in Python
Kernelfunctions.jl
187 ⭐
Julia package for kernel functions for machine learning
Mmottl Gpr
47 ⭐
Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
Bayesianoptimization.jl
61 ⭐
Bayesian optimization for Julia
Kalman Jax
77 ⭐
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Vlgp
38 ⭐
Dimensionality reduction of spikes trains
Gp Mvs
50 ⭐
Multi-View Stereo by Temporal Nonparametric Fusion
Gp Infer Net
39 ⭐
Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
Ts Emo
53 ⭐
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Oxfordcontrol Bayesian Optimization
37 ⭐
Reference implementation of Optimistic Expected Improvement.
Jlearn
42 ⭐
Machine Learning Library, written in J
Go Bayesopt
43 ⭐
A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.
Max Value Entropy Search
43 ⭐
Max-value Entropy Search for Efficient Bayesian Optimization
Bruno
33 ⭐
a deep recurrent model for exchangeable data
Ipynotebook_machinelearning
28 ⭐
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
Autogp
26 ⭐
Code for AutoGP
Gpboost
287 ⭐
Combining tree-boosting with Gaussian process and mixed effects models
Flu Sequence Predictor
32 ⭐
An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.
Approxposterior
33 ⭐
A Python package for approximate Bayesian inference and optimization using Gaussian processes
Psoap
23 ⭐
Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."
Nssm Gp
25 ⭐
Non-stationary spectral mixture kernels implemented in GPflow
Trapyng
31 ⭐
Python library to implement advanced trading strategies using machine learning and perform backtesting.
Citiususc Voila
19 ⭐
Variational Inference for Langevin Equations
Variationalautoencoders
24 ⭐
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Mobo
26 ⭐
constrained/unconstrained multi-objective bayesian optimization package.
Ml_course
22 ⭐
"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Gpflow Slim
16 ⭐
customized GPflow with simple Tensorflow API
Boundary Gp
16 ⭐
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Gp
14 ⭐
Differentiable Gaussian Process implementation for PyTorch
Sparsegp_powerep
18 ⭐
Unifying sparse approximations for Gaussian process regression and classification, using Power EP
Temporalgps.jl
80 ⭐
Fast inference for Gaussian processes in problems involving time
K2sc
15 ⭐
K2 systematics correction using Gaussian processes
Gptp_multi_output
28 ⭐
multivariate Gaussian process regression and multivariate Student-t process regression
Dgplib
15 ⭐
Library for Deep Gaussian Processes based on GPflow
Pygpso
16 ⭐
Gaussian-Processes Surrogate Optimisation in python
Mogp_emulator
24 ⭐
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
Gp_drf
14 ⭐
Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019
Orgpmp2
14 ⭐
OpenRAVE plugin for GPMP2
Gp Clustering
13 ⭐
Clustering with Gaussian Process Models
Nonstationary Spectral Kernels
14 ⭐
Implementation for Non-stationary Spectral Kernels (NIPS 2017)
Machine Learning Summer Schools
13 ⭐
Curated materials for different machine learning related summer schools
Minimize
12 ⭐
Conjugate gradients minimization
Gplib
11 ⭐
C++ Gaussian Process Library
Nips2017
18 ⭐
Multi-Information Source Optimization
Friedrich
25 ⭐
A Rust implementation of Gaussian Process regression.
Kima
12 ⭐
Exoplanet detection in RVs with DNest4 and GPs
Pyrff
19 ⭐
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Rgbd Correction
14 ⭐
Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.
Nonstationary Audio Gp
10 ⭐
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
Vsdgpom
14 ⭐
Fast Gaussian process occupancy maps (GPOM) for dynamic environments using Big Data GP
Gpim
23 ⭐
Gaussian processes and Bayesian optimization for images and hyperspectral data
Trendinessoftrends
13 ⭐
The Trendiness of Trends
Abstractgps.jl
137 ⭐
Abstract types and methods for Gaussian Processes.
Random Fourier Features
42 ⭐
Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model