Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
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generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
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style-vaeImplementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
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MidiTokA convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶
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srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
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Dfc VaeVariational Autoencoder trained by Feature Perceputal Loss
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Generative ModelsCollection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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DiffuseVAEA combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
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vqvae-2PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"
Stars: ✭ 65 (+35.42%)
Vae protein functionProtein function prediction using a variational autoencoder
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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
Stars: ✭ 87 (+81.25%)
classifying-vae-lstmmusic generation with a classifying variational autoencoder (VAE) and LSTM
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Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (+770.83%)
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.
Stars: ✭ 18 (-62.5%)
Sentence VaePyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Stars: ✭ 462 (+862.5%)
Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
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ScgenSingle cell perturbation prediction
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Torch GqnPyTorch Implementation of Generative Query Network
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language-modelsKeras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).
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DraganA stable algorithm for GAN training
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PaysageUnsupervised learning and generative models in python/pytorch.
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DmmDeep Markov Models
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First Order ModelThis repository contains the source code for the paper First Order Motion Model for Image Animation
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Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
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glico-learning-small-sampleGenerative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'
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Net2netNetwork-to-Network Translation with Conditional Invertible Neural Networks
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Voxel FlowVideo Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)
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Generative Evaluation PrdcCode base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
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latent space adventuresBuckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits
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PsganPeriodic Spatial Generative Adversarial Networks
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MIDI-VAENo description or website provided.
Stars: ✭ 56 (+16.67%)
Vincent Ai ArtistStyle transfer using deep convolutional neural nets
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GiqaPytorch implementation of Generated Image Quality Assessment
Stars: ✭ 100 (+108.33%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (+102.08%)
Vae vamppriorCode for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
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Rnn Handwriting GenerationHandwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
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naruNeural Relation Understanding: neural cardinality estimators for tabular data
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benchmark VAEUnifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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DeepSSM SysIDOfficial PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
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Generating Devanagari Using DrawPyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.
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MelnetImplementation of "MelNet: A Generative Model for Audio in the Frequency Domain"
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Inr GanAdversarial Generation of Continuous Images [CVPR 2021]
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Sem PcycPyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
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SganStacked Generative Adversarial Networks
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Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
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Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
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Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
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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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WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
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Msg NetMulti-style Generative Network for Real-time Transfer
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