deep-autoencoders

There are 0 repository under deep-autoencoders topic.

NVIDIA / DeepRecommender
Deep learning for recommender systems
deep-autoencoders collaborative-filtering deep-learning gpu recommendation-engine
Language:Python 1685
laurahanu / 2D-and-3D-Deep-Autoencoder
Convolutional AutoEncoder application on MRI images
deep-learning neuralnetworks mri-images medical-imaging medical-images autoencoder imaging lasagne theano deep-autoencoders unsupervised-learning
Language:Python 68
RaptorMai / Deep-AutoEncoder-Recommendation
Keras implementation of AutoRec and DeepRecommender from Nvidia.
autoencoder autorec collaborative-filtering deep-autoencoders deep-learning keras recommendation recommender-system
Language:Jupyter Notebook 61
janerjzou / AD_FL_DL
Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.
federated-learning deep-learning deep-autoencoders iot anomaly-detection pytorch fedavg
Language:Jupyter Notebook 29
Warvito / Normative-modelling-using-deep-autoencoders
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
autoencoder autoencoders deep-autoencoders deep-learning deep-neural-networks neuroimaging normative-modelling
Language:Jupyter Notebook 25
DeepRecommender
Chinmayrane16 / DeepRecommender
Training Deep AutoEncoders for Collaborative Filtering
autoencoder-neural-network mmse deep-autoencoders deep-learning movielens-dataset recommendation-system research-paper pytorch-implementation state-of-the-art
Language:Jupyter Notebook 22
mainak-ghosh / AutoEncoder
Comparison of dimensionality reduction ability of different autoencoders on different datasets.
autoencoder dimensionality-reduction deep-autoencoders convolutional-autoencoder mnist-dataset
Language:Jupyter Notebook 4
slipnitskaya / IBM_FINANCE_AP19
Deep Learning in Finance with Keras. - NVIDIA Deep Learning Institute workshop (Frankfurt, 2019)
machine-learning finance time-series keras-tensorflow tensorflow keras nlp lstm deep-learning deep-autoencoders autoencoder
Language:Jupyter Notebook 4
Harshitmalaviya / VOICE-CONVERSION-USING-DEEP-NEURAL-NETWORKSWITH-SPEAKER-INDEPENDENT-PRE-TRAINING----DNN_VCC
This is first ever DNN using pretaining for Voice conversion.
pytorch dnn deep deep-learning deep-neural-networks deep-autoencoders artificial-neural-networks voice-conversion
Language:Python 3
lstm-ae-sagemaker
fg-research / lstm-ae-sagemaker
SageMaker implementation of LSTM-AE model for time series anomaly detection.
amazon-web-services autoencoders aws deep-autoencoders deep-learning long-short-term-memory-network machine-learning python pytorch recurrent-neural-networks sagemaker time-series time-series-anomaly-detection
Language:Jupyter Notebook 2
mohamadmomeny / Create-New-Data-Using-Denoised-Images
An Autoencoder Model to Create New Data Using Noisy and Denoised Images Corrupted by the Speckle, Gaussian, Poisson, and impulse Noise.
deep-learning autoencoder noise data-augmentation deep-autoencoders impulse-noise speckle-noise gaussian-noise poisson-noise convolutional-neural-networks python keras tensorflow
Language:Python 2
VatsalSoni301 / AutoEncoder
autoencoder deep-autoencoders gaussian-mixture-models generative-model hierarchical-clustering jupyter-notebook kernel-density-estimation kmeans neural-network pca python3
Language:Jupyter Notebook 2
favalos / autoencoder-mxnet-scala
Simple implementation of Autoencoder with mxnet and scala.
deep-learning autoencoder-mnist scala mxnet deep-autoencoders
Language:Scala 1