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Torch implementation of neural style algorithm
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Image-to-image translation with conditional adversarial nets
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Capsule network with variations. Originally proposed by Tieleman & Hinton : http:https://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
Variational Autoencoder trained by Feature Perceputal Loss
[CVPR 2018] Cross-View Image Synthesis using Conditional GANs, [CVIU 2019] Cross-view image synthesis using geometry-guided conditional GANs
Code to generate visual metamers via foveated feed-forward style transfer (ICLR 2019)
Train DeepSat dataset with Torch
DanuserLab / openLCH
Forked from andrewjUTSW/openLCHLive Cell Histology: Extracting latent features from label-free live cell images using Adversarial Autoencoders