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23 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.

Gpflow ⭐ 1,802

Gaussian processes in TensorFlow

Keras Gp ⭐ 219

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

Bayesian Reinforcement Learning in Tensorflow

Scala Library/REPL for Machine Learning Research

Aboleth ⭐ 125

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Hyper Engine ⭐ 69

Python library for Bayesian hyper-parameters optimization

Deep convolutional gaussian processes.

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Convnets As Gps ⭐ 36

Code for "Deep Convolutional Networks as shallow Gaussian Processes"

Bayesian Optimization ⭐ 31

Reference implementation of Optimistic Expected Improvement.

Python library to implement advanced trading strategies using machine learning and perform backtesting.

Gpflow Slim ⭐ 16

customized GPflow with simple Tensorflow API

Ml_course ⭐ 15

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

Rgbd Correction ⭐ 15

Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.

Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances

Deep Gaussian Process ⭐ 12

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

Convnets As Gps ⭐ 10

Code for "Deep Convolutional Networks as shallow Gaussian Processes"

Gpflow Inter Domain ⭐ 9

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

Automatic machine learning toolkit for TensorFlow

Blackbox Optimization Using Rnns ⭐ 7

This project is a part of "Neural Information Processing Project" taught at TU Berlin.

Time Series ⭐ 6

Time-Series models for multivariate and multistep forecasting, regression, and classification

Interactive Gp ⭐ 5

Interactive Gaussian Processes

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