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14 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.

Gpytorch ⭐ 3,337

A highly efficient implementation of Gaussian Processes in PyTorch

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control ⭐ 76

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Random Fourier Features ⭐ 66

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

Candlegp ⭐ 59

Gaussian Processes in Pytorch

Pytorch Minimal Gaussian Process ⭐ 38

A minimal implementation of Gaussian process regression in PyTorch

Differentiable Gaussian Process implementation for PyTorch

Gaussian processes on graphs and lattices in Stan and pytorch.

Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019

Deep Bayesian Quadrature Policy Optimization ⭐ 9

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch

Ecg_activelearning ⭐ 5

Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"

Dependency-aware deep generative models for multitasking analysis of spatial genomics data

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