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Deep learning for recommender systems
Convolutional AutoEncoder application on MRI images
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
Training Deep AutoEncoders for Collaborative Filtering
Comparison of dimensionality reduction ability of different autoencoders on different datasets.
Deep Learning in Finance with Keras. - NVIDIA Deep Learning Institute workshop (Frankfurt, 2019)
This is first ever DNN using pretaining for Voice conversion.
SageMaker implementation of LSTM-AE model for time series anomaly detection.
An Autoencoder Model to Create New Data Using Noisy and Denoised Images Corrupted by the Speckle, Gaussian, Poisson, and impulse Noise.
Simple implementation of Autoencoder with mxnet and scala.