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awesome-decision-tree-papers

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

btcpredictor

Bitcoin price prediction algorithm using bayesian regression techniques

cnn-explainer

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

continual-transfer-learning-injection-molding

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 Informatics, INDIN’19

convnetjs

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

cppprimer

:books: Solutions for C++ Primer 5th exercises.

dace-toolbox-source

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

data-analysis

Data Science Using Python

emukit

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

exercises_thushv_dot_com

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

fewshotpapers

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

gmr

Gaussian Mixture Regression

gurls

GURLS: a Least Squares Library for Supervised Learning

hello-world

just a tutorial

incubator-mxnet

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

introduction_to_ml_with_python

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

movingleastsquare

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

pce

Polynomial Chaos Expansion

platemo

Evolutionary multi-objective optimization platform

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

prmlt

Matlab code for machine learning algorithms in book PRML

prophet

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

pykriging

Welcome to the User Friendly Python Kriging Toolbox!

pysot

Surrogate Optimization Toolbox for Python

scikit-learn

scikit-learn: machine learning in Python

sdwo

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

smt

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

the-gan-zoo

A list of all named GANs!

transferlearning

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