ayat-khairy

PythonRobotics

Python sample codes for robotics algorithms.

Tkinter-Designer

An easy and fast way to create a Python GUI 🐍

pyro

Deep universal probabilistic programming with Python and PyTorch

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

botorch

Bayesian optimization in PyTorch

Ax

Adaptive Experimentation Platform

GPy

Gaussian processes framework in python

Stein-Variational-Gradient-Descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

PyDeepGP

Deep Gaussian Processes in Python

modulus-makani

Massively parallel training of machine-learning based weather and climate models

MPNet

Motion Planning Networks

TuRBO

vi-hds

Variational inference for hierarchical dynamical systems

PRM-Path-Planning

Implementation of Probabilistic Roadmap Path Planning Algorithm.

HypoSVI

Hypocentral earthquake location using Stein-variational gradient descent and deep neural network travel-time formulations

hgplvm

Hierarchical Gaussian process latent variable model.

fast-rrt-star

Vanilla implementation of Rapidly Exploring Random Tree (RRT), Rapidly Exploring Random Graph (RRG) and Rapidly Exploring Random Tree* (RRT*)

RRT

Explore a space and find a path around obstacles using a rapidly-exploring random tree (RRT)

GPflow-inter-domain

Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables

gnn-reading-group

Public-facing repo for organising activities+ archiving material relating to the Graph Neural Network reading group.

Hybrid-MPNet

stein_lib

RRT

Rapidly-exploring Random Tree

motion-planning

Implementations with interactive visualizations of multiple motion planning algorithms.

guepard

icml23-gpframe

Code and data for 'Beyond Intuition, a Framework for Applying GPs to Real-World Data' presented at the Structured Probabilistic Inference and Generative Modeling Workshop at ICML 2023.

Hierarchical-Hyperplane-Kernels

Official implementation of "Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems" (AISTATS 2023)

RRT-Rapidly-Exploring-Random-Trees-

GPflow

Gaussian processes in TensorFlow

GPflux

Deep GPs built on top of TensorFlow/Keras and GPflow