VAE-Gumbel-SoftmaxAn implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
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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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soft-intro-vae-pytorch[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
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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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Vae For Image GenerationImplemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
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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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Variational AutoencoderPyTorch implementation of "Auto-Encoding Variational Bayes"
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Pytorch VaeA Collection of Variational Autoencoders (VAE) in PyTorch.
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MIDI-VAENo description or website provided.
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Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
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Vae Cvae MnistVariational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
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benchmark VAEUnifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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Python World Stars: ✭ 98 (+92.16%)
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Vae protein functionProtein function prediction using a variational autoencoder
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MojitalkCode for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
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Video predictionStochastic Adversarial Video Prediction
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Tensorflow Mnist VaeTensorflow implementation of variational auto-encoder for MNIST
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Variational AutoencoderVariational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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Tensorflow Mnist CvaeTensorflow implementation of conditional variational auto-encoder for MNIST
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