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bayesian-moment-matching

Contains all code related to Bayesian Moment Matching

bayesianmm

All codes for Bayesian Moment Matching algorithm

ddea-se

Offline data-driven evolutionary optimization using selective surrogate ensembles

featureselectionsandextractions

feature selections and extractions

homotl-oddm

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

incremental_decision_tree-cart-random_forest_python

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

jpda

Code for Joint Probability Distribution Adaptation (JPDA)

kaggle

Competition Review

machinelearningfromzero

write my own neural network & some useful code

matlab-source-code-oversampling-methods

This repository contains the source code for four oversampling methods that I wrote in MATLAB: 1) SMOTE 2) Borderline SMOTE 3) Safe Level SMOTE 4) ASUWO (Adaptive Semi-Unsupervised Weighted Oversampling)

meda

Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)

onlineboostingwithvfdt

Online multiclass boosting algorithm that uses VFDT as weak learners

onlinetransferlearningforstream

sa-coso

sleep-stage-classification-papers

This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.

tradaboost_icml2007

This is an implementation of TrAdaBoost of the paper "Boosting for transfer learning" (icml 2007).

transferlearning

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