Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Updated
May 20, 2024 - Python
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
Notebooks about Bayesian methods for machine learning
Gaussian processes in TensorFlow
Fast and Easy Infinite Neural Networks in Python
Kriging Toolkit for Python
Fast and flexible Gaussian Process regression in Python
Python code for bayesian optimization using Gaussian processes
Gaussian Process Motion Planner 2
🎩 An easy and fast library to apply gaussian blur filter on any images.
Bayesian Reinforcement Learning in Tensorflow
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Safe reinforcement learning with stability guarantees
GPstuff - Gaussian process models for Bayesian analysis
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
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
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