Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 6,963 (+260.03%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-98.76%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-93.07%)
metricsIS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Stars: ✭ 91 (-95.29%)
St CganDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Stars: ✭ 13 (-99.33%)
TET-GAN[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization
Stars: ✭ 74 (-96.17%)
ExprganFacial Expression Editing with Controllable Expression Intensity
Stars: ✭ 98 (-94.93%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (-98.91%)
Inverse Style GanLooking up a generative latent vectors from (face) reference images.
Stars: ✭ 26 (-98.66%)
anime2clothingPytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.
Stars: ✭ 65 (-96.64%)
Cyclegan Vc2Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
Stars: ✭ 158 (-91.83%)
Computer-Visionimplemented some computer vision problems
Stars: ✭ 25 (-98.71%)
UnsupntsUnsupervised Neural Text Simplification
Stars: ✭ 23 (-98.81%)
Child-Face-GenerationDeep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces
Stars: ✭ 26 (-98.66%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-94.98%)
Csmri RefinementCode for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
Stars: ✭ 21 (-98.91%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-97.41%)
GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Stars: ✭ 1,700 (-12.1%)
GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Stars: ✭ 107 (-94.47%)
Xdf GanA GAN for the generation of mock astronomical surveys
Stars: ✭ 17 (-99.12%)
wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
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TaganAn official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
Stars: ✭ 97 (-94.98%)
CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Stars: ✭ 139 (-92.81%)
TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
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pix2pix-tensorflowA minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).
Stars: ✭ 22 (-98.86%)
MuseganAn AI for Music Generation
Stars: ✭ 794 (-58.95%)
text2paintingConvert text into beautiful artistic images
Stars: ✭ 55 (-97.16%)
Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Stars: ✭ 97 (-94.98%)
Rnn.wganCode for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
Stars: ✭ 252 (-86.97%)
InstaganInstaGAN: Instance-aware Image Translation (ICLR 2019)
Stars: ✭ 761 (-60.65%)
GanimationGANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
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The Gan WorldEverything about Generative Adversarial Networks
Stars: ✭ 243 (-87.44%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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PiqMeasures and metrics for image2image tasks. PyTorch.
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Wasserstein GanChainer implementation of Wasserstein GAN
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Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+195.76%)
Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (-62.2%)
HisdOfficial pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
Stars: ✭ 148 (-92.35%)
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (+36.56%)
Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (-63.55%)
Nlpgnn1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Stars: ✭ 221 (-88.57%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (-32.01%)
Warpgan(CVPR 2019 Oral) Style Transfer with Geometric Deformation
Stars: ✭ 215 (-88.88%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (-65.77%)
ArtganArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
Stars: ✭ 210 (-89.14%)
Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
Stars: ✭ 653 (-66.24%)
Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
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FrontalizationPytorch deep learning face frontalization model
Stars: ✭ 160 (-91.73%)
VocganVocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
Stars: ✭ 158 (-91.83%)
Tf Exercise GanTensorflow implementation of different GANs and their comparisions
Stars: ✭ 110 (-94.31%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-96.95%)
DreampowerDeepNude with DreamNet improvements.
Stars: ✭ 287 (-85.16%)