Unofficial implementation of SVMs multi-class loss feedback based discriminative dictionary learning in python
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Updated
Apr 13, 2022 - Python
Unofficial implementation of SVMs multi-class loss feedback based discriminative dictionary learning in python
An image-based deep learning model to help predict the the occurrence of a stampede
Uniform Vectorized AutoEncoder : latent vectors distribution is attacked by adversarial model
Collaborative Filtering With User or Item Feature
This model implements auto-encoder for speech data using deep convolution neural networks in pytorch
Research on Material Science using Neural Networks black box approach
Clustering with feature extracted from auto encoder gives better result than K-Means.
Code and Datasets for the paper "Identifying Sepsis Subphenotypes via Time-Aware Multi-ModalAuto-Encoder", published on KDD 2020.
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
A collection of different latent variable and generative models
An efficient diagnostic that uses the latent space of a Non-Parametric Supervised Autoencoder for metabolomic datasets of clinical studies.
Machine & deep learning researches (Archive, Discontinued)
For the final project of machine learning class at NKU
Multilayer Perceptron based on NumPy
Super resolution model autoencoder
Deep learning library from scratch (MLP/CNN/Auto-Encoder etc...). Contains some experiences on MNIST/CIPHAR datasets + report.
Auto-Associative How To
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