What I Have ReadPaper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
Stars: ✭ 110 (-70.82%)
AgeCode for the paper "Adversarial Generator-Encoder Networks"
Stars: ✭ 274 (-27.32%)
Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stars: ✭ 3,099 (+722.02%)
DcpdnDensely Connected Pyramid Dehazing Network (CVPR'2018)
Stars: ✭ 321 (-14.85%)
Face GeneratorGenerate human faces with neural networks
Stars: ✭ 266 (-29.44%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+1001.33%)
Person Reid ganICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Stars: ✭ 301 (-20.16%)
hifigan-denoiserHiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
Stars: ✭ 88 (-76.66%)
lecam-ganRegularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
Stars: ✭ 127 (-66.31%)
Makegirlsmoe webCreate Anime Characters with MakeGirlsMoe
Stars: ✭ 3,144 (+733.95%)
Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
Stars: ✭ 322 (-14.59%)
Cat GeneratorGenerate cat images with neural networks
Stars: ✭ 354 (-6.1%)
DrqDrQ: Data regularized Q
Stars: ✭ 268 (-28.91%)
Gp GanOfficial Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Stars: ✭ 317 (-15.92%)
SinganOfficial pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Stars: ✭ 2,983 (+691.25%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-4.51%)
UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Stars: ✭ 68 (-81.96%)
TransGANThis is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.
Stars: ✭ 57 (-84.88%)
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。
Stars: ✭ 336 (-10.88%)
DabData Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ
Stars: ✭ 294 (-22.02%)
EmotionalConversionStarGANThis repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
Stars: ✭ 92 (-75.6%)
thelperTraining framework & tools for PyTorch-based machine learning projects.
Stars: ✭ 14 (-96.29%)
DreampowerDeepNude with DreamNet improvements.
Stars: ✭ 287 (-23.87%)
DcganThe Simplest DCGAN Implementation
Stars: ✭ 286 (-24.14%)
Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Stars: ✭ 351 (-6.9%)
MydeeplearningA deep learning library to provide algs in pure Numpy or Tensorflow.
Stars: ✭ 281 (-25.46%)
PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-15.65%)
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+742.97%)
Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Stars: ✭ 363 (-3.71%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-16.98%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (-8.22%)
Torchsat🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Stars: ✭ 261 (-30.77%)
Improved Video GanGitHub repository for "Improving Video Generation for Multi-functional Applications"
Stars: ✭ 314 (-16.71%)
Inpainting gmcnnImage Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
Stars: ✭ 256 (-32.1%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-2.65%)
pytorch-ricapPyTorch implementation of RICAP (Random Image Cropping And Patching)
Stars: ✭ 40 (-89.39%)
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.
Stars: ✭ 3,307 (+777.19%)
DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (-8.75%)
pytorch-ACSCPUnofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
Stars: ✭ 18 (-95.23%)
DaliA GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Stars: ✭ 3,624 (+861.27%)
AsymmetricGAN[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Stars: ✭ 42 (-88.86%)
Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
Stars: ✭ 22 (-94.16%)
ConsinganPyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
Stars: ✭ 294 (-22.02%)
HistoGANReference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
Stars: ✭ 158 (-58.09%)
Gan PlaygroundGAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
Stars: ✭ 336 (-10.88%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-23.34%)
MsganMSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
Stars: ✭ 366 (-2.92%)
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (-5.57%)
Hifi GanHiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Stars: ✭ 325 (-13.79%)