zhouying3

MWMOTE

A python implementation of "Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning"

Class-Imbalance

Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).

learn-GAN

share the codes I write during I learn GAN

WSDeepNN

A Weight-Selection Strategy for training Deep Neural Networks for Imbalanced Classification

AI-for-Security-Learning

安全场景、基于AI的安全算法和安全数据分析学习资料整理

blog

braincloud

upload to braincloud

CGMOS

Implementation of paper "CGMOS: Certainty Guided Minority OverSampling"

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DVG-1

Diverse Video Generation using a Gaussian Process Trigger

Implementation-of-Classification-of-Imbalanced-Data-by-Oversampling-in-Kernel-Space-of-SVM-paper

This is the MATLAB implemenation of paper published in IEEE Transactions on Neural Networks and Learning Systems Date'2017 PubMed ID: 29028213

kmeans_smote

Oversampling for imbalanced learning based on k-means and SMOTE

MAHAKIL

A oversampling approach

on_the_way

the total things for graduate school

Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning

RBO

Radial-Based Oversampling for Noisy Imbalanced Data Classification

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

stats385.github.io

Stats 385 course website

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-101

learn code with tensorflow

test

vae

code and paper for variational autoencoder

VAE-TensorFlow

Implementation of a Variational Auto-Encoder in TensorFlow