gaussian-processes topic
pycrop-yield-prediction
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
post--visual-exploration-gaussian-processes
A Visual Exploration of Gaussian Processes
kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
GP-MVS
Multi-View Stereo by Temporal Nonparametric Fusion
DeepCGP
Deep convolutional gaussian processes.
DUAL
Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
pytorch-minimal-gaussian-process
A minimal implementation of Gaussian process regression in PyTorch
hilo-mpc
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
dissertation
Zheng Zhao's doctoral dissertation from Aalto University