RanksysJava 8 Recommender Systems framework for novelty, diversity and much more
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cgan-face-generatorFace generator from sketches using cGAN (pix2pix) model
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ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
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Makegirlsmoe webCreate Anime Characters with MakeGirlsMoe
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AgeCode for the paper "Adversarial Generator-Encoder Networks"
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DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
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Improved Video GanGitHub repository for "Improving Video Generation for Multi-functional Applications"
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SinganOfficial pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
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Gan PlaygroundGAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
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UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
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pytorch-ACSCPUnofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
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Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
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Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
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VSGANVapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)
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DcpdnDensely Connected Pyramid Dehazing Network (CVPR'2018)
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ezganAn extremely simple generative adversarial network, built with TensorFlow
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Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
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Alae[CVPR2020] Adversarial Latent Autoencoders
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TextBoxGANGenerate text boxes from input words with a GAN.
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DeslibA Python library for dynamic classifier and ensemble selection
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BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
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Face GeneratorGenerate human faces with neural networks
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Inpainting gmcnnImage Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
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PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
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Hifi GanHiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
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hifigan-denoiserHiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
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Person Reid ganICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
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TransGANThis is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.
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SdvSynthetic Data Generation for tabular, relational and time series data.
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lecam-ganRegularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
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Pytorch SrganA modern PyTorch implementation of SRGAN
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HistoGANReference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
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PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
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EigenGAN-TensorflowEigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
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DreampowerDeepNude with DreamNet improvements.
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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Cat GeneratorGenerate cat images with neural networks
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DcganThe Simplest DCGAN Implementation
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keras-3dganKeras implementation of 3D Generative Adversarial Network.
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Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
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MydeeplearningA deep learning library to provide algs in pure Numpy or Tensorflow.
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Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
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T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
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Gp GanOfficial Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
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