手写实现李航《统计学习方法》书中全部算法

Evolutionary multi-objective optimization platform

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

A collection of research papers on decision, classification and regression trees with implementations.

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Probabilistic Modeling Toolkit for Matlab/Octave.

A list of all named GANs!

Gaussian Mixture Regression

Data Science Using Python

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Matlab code for machine learning algorithms in book PRML

Here lies all the exercises I implement and share in my website

Code to reproduce the results from the paper "Industrial Transfer Learning: Boosting Machine Learning in Production" by Tercan et al., submitted to the IEEE International Conference on Industrial I…

Polynomial Chaos Expansion

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

the source code of the space-division-based width optimization method for RBF network

Everything about Transfer Learning and Domain Adaptation--迁移学习

Notebooks and code for the book "Introduction to Machine Learning with Python"

DACE Toolbox source code by Hans Bruun Nielsen, Søren Nymand and Lophaven Jacob Søndergaard

scikit-learn: machine learning in Python

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Welcome to the User Friendly Python Kriging Toolbox!

Surrogate Optimization Toolbox for Python

📚 Solutions for C++ Primer 5th exercises.

Bitcoin price prediction algorithm using bayesian regression techniques

GURLS: a Least Squares Library for Supervised Learning

This is an matlab implementation of Siggraph 06 paper "Image deformation using moving least squares",