Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
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Variational AutoencoderVariational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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Probabilistic unetA U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
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Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
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normalizing-flowsPyTorch implementation of normalizing flow models
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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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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SIVIUsing neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)
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lagvaeLagrangian VAE
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KvaeKalman Variational Auto-Encoder
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Nb2mailSend a notebook as an email
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Predictive MaintenanceData Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
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ChoicenetImplementation of ChoiceNet
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Code2pixcode2pix: Generating Graphical User Interfaces from Code (A Differentiable Compiler)
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GeostatsmodelsThis is a collection of geostatistical scripts written in Python
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Lit2vecRepresenting Books as vectors using the Word2Vec algorithm
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Data ScienceToda semana um novo material estará disponível para guiar no estudo de ciência de dados =)
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