kangzi's repositories
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
python-data-science-cheatsheet
Python数据科学速查表
machinelearning-2
My blogs and code for machine learning. http://cnblogs.com/pinard
banditnet-pytorch
A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"
deep-active-learning
Deep Active Learning
MachineLearning-1
A repo with tutorials for algorithms from scratch
SOL
Library for Scalable Online Learning
matlab-machine-learning
Source Code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas
pytorch-exercise
Practical Exercise Codes for PyTorch
pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
OnlinePA
Simple Online Passive Aggressive Algorithm implementation using Python
passive_aggressive-1
implementation of online passive aggressive algorithm with python and analyse breast cancer data set
online-learning
Python implementations of Machine Learning Algorithms for the Online Setting
BOTL
Bi-directional Online Transfer Learning (BOTL) framework and data generators for concept drifting data streams.
Advance-Machine-Learning-Practical-Session-2
Online Passive-Aggressive Algorithms, Bandit Algorithm, Reinforcement Learning
Machine-Learning-in-Medical-Imaging--U-Net
TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.
Detection-of-Breast-Cancer-using-Neural-Networks
This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.
KOL
Library for Kernel Online Learning
Banditron
Efficient Bandit Algorithms for Online Multiclass Prediction
ML4MI-Early-Barrett-Cancer-Detection
Early Barette Cancer detection is a project for the practical course machine learning in medical imaging uses U-Nets to segment the images and find out the traces of cancerous region
nndl-codes
Sample Codes for NNDL
SCW
Soft Confidence-Weighted Learning in Python