dcgan vae pytorchdcgan combined with vae in pytorch!
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Advanced Models여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)
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style-vaeImplementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
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vae captioningImplementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
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Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
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VAENAR-TTSPyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
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BagelIPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
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char-VAEInspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
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nvaeAn unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
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BERT4Rec-VAE-PytorchPytorch implementation of BERT4Rec and Netflix VAE.
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pyroVEDInvariant representation learning from imaging and spectral data
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probabilistic nlgTensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
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Pytorch-RL-CPPA Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
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continuous BernoulliThere are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.
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molecular-VAEImplementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
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TensorMONKA collection of deep learning models (PyTorch implemtation)
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Carla-ppoThis repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.
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