VAE-Latent-Space-ExplorerInteractive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.
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benchmark VAEUnifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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MIDI-VAENo description or website provided.
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Vae Cvae MnistVariational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
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Cada Vae PytorchOfficial implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
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S Vae TfTensorflow implementation of Hyperspherical Variational Auto-Encoders
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Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
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Vae CelebaVariational auto-encoder trained on celebA . All rights reserved.
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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Synthesize3dviadepthorsil[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
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Tensorflow Mnist CvaeTensorflow implementation of conditional variational auto-encoder for MNIST
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BnafPytorch implementation of Block Neural Autoregressive Flow
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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Neuraldialog LarlPyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
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TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
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Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
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Vae TensorflowA Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
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KvaeKalman Variational Auto-Encoder
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SmrtHandle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
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Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
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Li emnlp 2017Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
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