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gaussian-processes
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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
Probabilistic Programming with Gaussian processes in Julia
Gaussian Process Motion Planner 2
Bayesian Reinforcement Learning in Tensorflow
Bayesian Coherent Point Drift / Domain Elastic Transform
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