Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
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Updated
Apr 6, 2017 - Python
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Multilayer Perceptron based on NumPy
A simple document and image search engine implemented in keras
Machine & deep learning researches (Archive, Discontinued)
This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
All assignments of Statistical Machine Learning Course
(KAIST KSE643 Project) A recommendation system for League of Legends (LoL) Champions
A neural text style transfer model
PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer" - tuned version
由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类st-dbscan做异常检测
Implementation of Consistency-based anomaly detection (ConAD)
Implementation of Consistency-based anomaly detection (ConAD)
This is the Web-server code for SAXS_reconstruction programs
This model implements auto-encoder for speech data using deep convolution neural networks in pytorch
For the final project of machine learning class at NKU
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