Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Multilayer Perceptron based on NumPy

clone of gitlab

A simple document and image search engine implemented in keras

Machine & deep learning researches (Archive, Discontinued)

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

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 model implements auto-encoder for speech data using deep convolution neural networks in pytorch

Variational Autoencoder (VAE)

For the final project of machine learning class at NKU

[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천 시스템

Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation

Super resolution model autoencoder

A journey to implement auto encoder-based generative models for images.