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361 public repositories
matching this topic...
Machine learning, in numpy
Updated
Jul 27, 2020
Python
A Python implementation of global optimization with gaussian processes.
Updated
Jul 13, 2020
Python
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Updated
Jul 29, 2020
Python
Gaussian processes in TensorFlow
Updated
Jul 30, 2020
Python
Fast and Easy Infinite Neural Networks in Python
Updated
Jul 27, 2020
Jupyter Notebook
Notebooks about Bayesian methods for machine learning
Updated
May 31, 2020
Jupyter Notebook
An easy and fast library to apply gaussian blur filter on any images. 🎩
Fast and flexible Gaussian Process regression in Python
Updated
Jun 12, 2020
Python
Kriging Toolkit for Python
Updated
Jul 17, 2020
Python
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
Python code for bayesian optimization using Gaussian processes
Updated
Dec 6, 2016
Jupyter Notebook
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Updated
May 8, 2019
Python
Scala Library/REPL for Machine Learning Research
Updated
Jul 21, 2020
Scala
Probabilistic Programming with Gaussian processes in Julia
Updated
Jul 27, 2020
Julia
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Bayesian Reinforcement Learning in Tensorflow
Updated
Jul 3, 2020
Python
A simple, extensible library for developing AutoML systems
Updated
Jul 30, 2020
Python
Scalable 1D Gaussian Processes in C++, Python, and Julia
Gaussian Process Motion Planner 2
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Updated
Sep 26, 2018
Python
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Safe reinforcement learning with stability guarantees
Updated
Feb 10, 2020
Python
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Updated
Jan 28, 2019
Python
Surrogate Optimization Toolbox for Python
Updated
Jun 23, 2020
Jupyter Notebook
Fast & scalable MCMC for all your exoplanet needs!
Updated
Jul 21, 2020
Python
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Updated
Jun 23, 2020
MATLAB
GPstuff - Gaussian process models for Bayesian analysis
Updated
May 12, 2020
MATLAB
Safe Bayesian Optimization
Updated
Apr 16, 2020
Python
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