Deep-Kernel-GP

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

neural-network

View on GitHub

94 Stars

27 Forks

94 Watchers

Python Language

Cost to Build

$909.1K

Market Value

$1.93M

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2025-03-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about Deep-Kernel-GP

Question copied to clipboard

What is the maka89/Deep-Kernel-GP GitHub project? Description: "Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Deep-Kernel-GP

Clone via HTTPS

git clone https://github.com/maka89/Deep-Kernel-GP.git

Clone via SSH

[email protected]:maka89/Deep-Kernel-GP.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Deep-Kernel-GP issue tracker:

Open GitHub Issues

Similar to Deep-Kernel-GP

tensorflow pytorch CNTK spaCy awesome-deep-learning python-machine-learning-book handson-ml tfjs tflearn HanLP tfjs-core Machine-Learning-Tutorials EffectiveTensorflow gensim php-ml brain.js TensorFlow-Tutorials have-fun-with-machine-learning tiny-dnn neurojs TensorLayer Paddle-Lite chainer seq2seq awesome-artificial-intelligence onnx tutorials TensorFlow-World neon tensorflow_cookbook