SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Stars: ✭ 502 (+4.8%)
LeakganThe codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
Stars: ✭ 533 (+11.27%)
DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
Stars: ✭ 24 (-94.99%)
ezganAn extremely simple generative adversarial network, built with TensorFlow
Stars: ✭ 36 (-92.48%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-93.11%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-94.99%)
skip-thought-ganGenerating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Stars: ✭ 44 (-90.81%)
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 (+590.4%)
Gan PlaygroundGAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
Stars: ✭ 336 (-29.85%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (-8.56%)
TexarToolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Stars: ✭ 2,236 (+366.81%)
Cool Fashion Papers👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Stars: ✭ 464 (-3.13%)
Awesome TensorlayerA curated list of dedicated resources and applications
Stars: ✭ 248 (-48.23%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Stars: ✭ 18 (-96.24%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-93.74%)
TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (-89.56%)
srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (-91.86%)
DcganThe Simplest DCGAN Implementation
Stars: ✭ 286 (-40.29%)
Makegirlsmoe webCreate Anime Characters with MakeGirlsMoe
Stars: ✭ 3,144 (+556.37%)
Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
Stars: ✭ 322 (-32.78%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (-17.75%)
Simgan CaptchaSolve captcha without manually labeling a training set
Stars: ✭ 405 (-15.45%)
Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Stars: ✭ 4,122 (+760.54%)
Tensorflow NlpNLP and Text Generation Experiments in TensorFlow 2.x / 1.x
Stars: ✭ 1,487 (+210.44%)
KadotKadot, the unsupervised natural language processing library.
Stars: ✭ 108 (-77.45%)
Attention MechanismsImplementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Stars: ✭ 203 (-57.62%)
ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
Stars: ✭ 72 (-84.97%)
ClafCLaF: Open-Source Clova Language Framework
Stars: ✭ 196 (-59.08%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-89.56%)
Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Stars: ✭ 1,123 (+134.45%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-94.99%)
StyleGANCppUnofficial implementation of StyleGAN's generator
Stars: ✭ 25 (-94.78%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (-95.62%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-95.82%)
keras-3dganKeras implementation of 3D Generative Adversarial Network.
Stars: ✭ 20 (-95.82%)
Market ReporterAutomatic Generation of Brief Summaries of Time-Series Data
Stars: ✭ 54 (-88.73%)
Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stars: ✭ 3,099 (+546.97%)
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+563.47%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-39.67%)
TextboxTextBox is an open-source library for building text generation system.
Stars: ✭ 257 (-46.35%)
PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-33.61%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-34.66%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-24.84%)
UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Stars: ✭ 68 (-85.8%)
IganInteractive Image Generation via Generative Adversarial Networks
Stars: ✭ 3,845 (+702.71%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-23.38%)
SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Stars: ✭ 406 (-15.24%)
Lightning BoltsToolbox of models, callbacks, and datasets for AI/ML researchers.
Stars: ✭ 829 (+73.07%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-81.63%)
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 (-24.22%)