gaussian-processes
There are 784 repositories under gaussian-processes topic.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ddbourgin/numpy-ml
Machine learning, in numpy
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
GPflow/GPflow
Gaussian processes in TensorFlow
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
GeoStat-Framework/PyKrige
Kriging Toolkit for Python
fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
jrvansuita/GaussianBlur
🎩 An easy and fast library to apply gaussian blur filter on any images.
dfm/george
Fast and flexible Gaussian Process regression in Python
JaxGaussianProcesses/GPJax
Gaussian processes in JAX.
JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
ARM-software/mango
Parallel Hyperparameter Tuning in Python
nrontsis/PILCO
Bayesian Reinforcement Learning in Tensorflow
thuijskens/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
gtrll/gpmp2
Gaussian Process Motion Planner 2
ohirose/bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
hoangcuong2011/Good-Papers
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
JuliaGaussianProcesses/KernelFunctions.jl
Julia package for kernel functions for machine learning
wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
alshedivat/keras-gp
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
resibots/limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
steliosploumpis/Universal_Head_3DMM
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
AaltoML/BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
befelix/safe_learning
Safe reinforcement learning with stability guarantees
acerbilab/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
robi56/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
wesselb/stheno
Gaussian process modelling in Python
JuliaGaussianProcesses/AbstractGPs.jl
Abstract types and methods for Gaussian Processes.
dme65/pySOT
Surrogate Optimization Toolbox for Python
exoplanet-dev/exoplanet
Fast & scalable MCMC for all your exoplanet needs!
tailhq/DynaML
Scala Library/REPL for Machine Learning Research
BayesWatch/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
m-clark/Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences