Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Machine learning, in numpy

A Python implementation of global optimization with gaussian processes.

A highly efficient implementation of Gaussian Processes in PyTorch

Fast and Easy Infinite Neural Networks in Python

Notebooks about Bayesian methods for machine learning

Gaussian processes in TensorFlow

Kriging Toolkit for Python

Combining tree-boosting with Gaussian process and mixed effects models

Gaussian processes in JAX and Flax.

🎩 An easy and fast library to apply gaussian blur filter on any images.

Fast and flexible Gaussian Process regression in Python

Parallel Hyperparameter Tuning in Python

Gaussian Process Motion Planner 2

Probabilistic Programming with Gaussian processes in Julia

Bayesian Coherent Point Drift / Domain Elastic Transform

Bayesian Reinforcement Learning in Tensorflow

Python code for bayesian optimization using Gaussian processes

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Julia package for kernel functions for machine learning