Awesome Open Source

Programming Languages

Search results for machine learning gaussian processes

gaussian-processes x

machine-learning x

81 search results found

D2l En ⭐ 21,912

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Gpflow ⭐ 1,826

Gaussian processes in TensorFlow

Bayesian Machine Learning ⭐ 1,587

Notebooks about Bayesian methods for machine learning

A machine learning course using Python, Jupyter Notebooks, and OpenML

Gpboost ⭐ 486

Combining tree-boosting with Gaussian process and mixed effects models

Gaussian processes in JAX.

Stheno.jl ⭐ 327

Probabilistic Programming with Gaussian processes in Julia

Kernelfunctions.jl ⭐ 260

Julia package for kernel functions for machine learning

Good Papers ⭐ 231

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

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

Keras Gp ⭐ 219

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

Bayesian Reinforcement Learning in Tensorflow

Gaussian process modelling in Python

Scala Library/REPL for Machine Learning Research

Bayesnewton ⭐ 196

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

Cornell Moe ⭐ 165

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

Gaussian Processes for Experimental Sciences

Survival Analysis Using Deep Learning ⭐ 138

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

sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model

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

Hilo Mpc ⭐ 92

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Bayesianoptimization.jl ⭐ 84

Bayesian optimization for Julia

Kalman Jax ⭐ 77

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Random Fourier Features ⭐ 66

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Mnist Challenge ⭐ 64

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

Neural Kernel Network ⭐ 62

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

Deep convolutional gaussian processes.

Bayesianml ⭐ 55

Experiments in Bayesian Machine Learning

Machine Learning Library, written in J

Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.

Deep Kernel Gp ⭐ 46

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

The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.

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

Bayesian Optimization ⭐ 31

Reference implementation of Optimistic Expected Improvement.

Autogp.jl ⭐ 30

Automated Bayesian model discovery for time series data

A Python library for Robotic Information Gathering

Max Value Entropy Search ⭐ 27

Max-value Entropy Search for Efficient Bayesian Optimization

Go Bayesopt ⭐ 25

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

Code for AutoGP

IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)

Autoforce ⭐ 23

Sparse Gaussian Process Potentials

Flexible Bayesian Optimization in R

Fulu is a python library of supernova light curves approximation methods based on machine learning.

Dissertation ⭐ 20

Zheng Zhao's doctoral dissertation from Aalto University

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

Gpflow Slim ⭐ 16

customized GPflow with simple Tensorflow API

Ml_course ⭐ 15

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

🔆 A Python implementation of a sum-product network with gaussian processes leafs model (SPNGP, arXiv:1809.04400) 📃

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

Differentiable Gaussian Process implementation for PyTorch

Variational Auto-Regressive Gaussian Processes for Continual Learning

Deep Gaussian Process ⭐ 12

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

C++ Gaussian Process Library

State-space deep Gaussian processes in Python and Matlab

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

Nips2017 ⭐ 11

Multi-Information Source Optimization

A software package for flexible HPC GPs

Minimize ⭐ 11

Conjugate gradients minimization

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

Csc2541 Ml Project ⭐ 9

Modeling Uncertainty in RNNs for Time Series Forecasting

🎶 A collection of études on probabilistic models.

Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data

Meetup Resources ⭐ 9

Collection of resources from each meetup event

Bayesian Methods For Machine Learning ⭐ 8

Bayesian Methods for Machine Learning

A Minimalist Machine Learning Library written in Swift

Paccmann_gp ⭐ 7

PyTorch/skopt based implementation of Bayesian optimization with Gaussian processes - build to optimize latent spaces of VAEs to generate molecules with desired properties

Interpolate grain boundary properties in a 5 degree-of-freedom sense via a novel distance metric.

Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes

Deepstructuredmixtures ⭐ 7

Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)

Winterconfhemavan2019 ⭐ 6

Material for my 'Bayesian Machine Learning' lectures at the Winter Conference in Statistics, Hemavan, Sweden, March 11-14, 2019.

Incremental Gaussian Process Regression Igpr ⭐ 6

Sdd Gp Mpc ⭐ 6

This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).

Gpyopt Ml Agents ⭐ 6

Gaussian process optimization using GPyOpt for Unity ML-Agents Toolkit

NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.

Sparse Spectrum Gaussian Process Regression

Bayesian Optimization using Gaussian Processes + web interface with result visualizations

Gaussian Process tiny explorer

Contextual Gaussian Process Bandit Optimization ⭐ 5

Simple implementation of CGP-UCB algorithm.

Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim)

Python Machine Learning Models ⭐ 5

Barebones Python implementations of machine learning models, without using machine learning libraries

GomPlex: Complex Gaussian Process for Machine Learning

Robust Gaussian Process with Iterative Trimming

Kfestimate.jl ⭐ 5

Julia package for KF and EKF parameter estimation using Automatic Differentiation

Related Searches

Python Machine Learning (14,099)

Jupyter Notebook Machine Learning (12,247)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Machine Learning Natural Language Processing (3,891)

Machine Learning Artificial Intelligence (3,877)

Machine Learning Data Science (3,802)

Machine Learning Pytorch (2,910)

Machine Learning Dataset (2,298)

Machine Learning Computer Vision (1,966)

1-81 of 81 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2025 Awesome Open Source. All rights reserved.