145 Open Source Gaussian Processes Software Projects
Free and open source gaussian processes code projects including engines, APIs, generators, and tools.
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
Cornell Moe 219 ⭐
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
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 Now almost entirely superseded by the models-by-example repo.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
Vbmc 150 ⭐
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Augmentedgaussianprocesses.jl 121 ⭐
Gaussian Process package based on data augmentation, sparsity and natural gradients
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
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'
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
Mmottl Gpr 47 ⭐
Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
Kalman Jax 77 ⭐
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
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.
Go Bayesopt 43 ⭐
A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.
Ipynotebook_machinelearning 28 ⭐
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
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
Trapyng 31 ⭐
Python library to implement advanced trading strategies using machine learning and perform backtesting.
Variationalautoencoders 24 ⭐
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Boundary Gp 16 ⭐
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Sparsegp_powerep 18 ⭐
Unifying sparse approximations for Gaussian process regression and classification, using Power EP
Gptp_multi_output 28 ⭐
multivariate Gaussian process regression and multivariate Student-t process regression
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
Machine Learning Summer Schools 13 ⭐
Curated materials for different machine learning related summer schools
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.