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GitHub topics: deep-autoencoders

NVIDIA/DeepRecommender 📦

Deep learning for recommender systems

Language: Python - Size: 1.33 MB - Last synced at: 6 days ago - Pushed at: about 4 years ago - Stars: 1,694 - Forks: 340

Warvito/Normative-modelling-using-deep-autoencoders

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

Language: Jupyter Notebook - Size: 348 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 7

fg-research/lstm-ae-sagemaker

SageMaker implementation of LSTM-AE model for time series anomaly detection.

Language: Jupyter Notebook - Size: 6.11 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

laurahanu/2D-and-3D-Deep-Autoencoder

Convolutional AutoEncoder application on MRI images

Language: Python - Size: 1.05 MB - Last synced at: 11 months ago - Pushed at: over 7 years ago - Stars: 70 - Forks: 14

Chinmayrane16/DeepRecommender

Training Deep AutoEncoders for Collaborative Filtering

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 22 - Forks: 3

favalos/autoencoder-mxnet-scala

Simple implementation of Autoencoder with mxnet and scala.

Language: Scala - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

slipnitskaya/IBM_FINANCE_AP19

Deep learning in Finance with Keras. - NVIDIA Deep Learning Institute workshop (Frankfurt, 2019).

Language: Jupyter Notebook - Size: 485 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

RaptorMai/Deep-AutoEncoder-Recommendation

Keras implementation of AutoRec and DeepRecommender from Nvidia.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 62 - Forks: 20

janerjzou/AD_FL_DL

Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

Language: Jupyter Notebook - Size: 3.83 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 7

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.

Language: Python - Size: 30.3 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 2

Harshitmalaviya/VOICE-CONVERSION-USING-DEEP-NEURAL-NETWORKSWITH-SPEAKER-INDEPENDENT-PRE-TRAINING----DNN_VCC

This is first ever DNN using pretaining for Voice conversion.

Language: Python - Size: 5.86 KB - Last synced at: 7 months ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 1

mainak-ghosh/AutoEncoder

Comparison of dimensionality reduction ability of different autoencoders on different datasets.

Language: Jupyter Notebook - Size: 7.03 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

VatsalSoni301/AutoEncoder

Language: Jupyter Notebook - Size: 150 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0