Pinned Repositories
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
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
AUV0701's Repositories
AUV0701/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.
AUV0701/SA-COSO
AUV0701/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）
AUV0701/FeatureSelectionsAndExtractions
feature selections and extractions
AUV0701/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
AUV0701/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
AUV0701/Kaggle
Competition Review
AUV0701/JPDA
Code for Joint Probability Distribution Adaptation (JPDA)
AUV0701/HomOTL-ODDM
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization
AUV0701/MEDA
Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)
AUV0701/OnlineTransferLearningForStream
AUV0701/TrAdaBoost_icml2007
This is an implementation of TrAdaBoost of the paper "Boosting for transfer learning" (icml 2007).
AUV0701/OnlineBoostingWithVFDT
Online multiclass boosting algorithm that uses VFDT as weak learners
AUV0701/DDEA-SE
Offline data-driven evolutionary optimization using selective surrogate ensembles
AUV0701/Bayesian-Moment-Matching
Contains all code related to Bayesian Moment Matching
AUV0701/MachineLearningFromZero
write my own neural network & some useful code
AUV0701/BayesianMM
All codes for Bayesian Moment Matching algorithm
AUV0701/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)