Pytorch StudioganStudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Stars: ✭ 2,325 (+933.33%)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+1022.67%)
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Stars: ✭ 2,656 (+1080.44%)
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+638.22%)
Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Stars: ✭ 203 (-9.78%)
MganMasking GAN - Image attribute mask generation
Stars: ✭ 120 (-46.67%)
Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
Stars: ✭ 157 (-30.22%)
CalcConvolutional Autoencoder for Loop Closure
Stars: ✭ 119 (-47.11%)
OrnOriented Response Networks, in CVPR 2017
Stars: ✭ 207 (-8%)
PixelnetThe repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
Stars: ✭ 194 (-13.78%)
Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
Stars: ✭ 161 (-28.44%)
Generative Evaluation PrdcCode base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
Stars: ✭ 117 (-48%)
EvoskeletonOfficial project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"
Stars: ✭ 154 (-31.56%)
CocosnetCross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Stars: ✭ 211 (-6.22%)
A Nice McCode for "A-NICE-MC: Adversarial Training for MCMC"
Stars: ✭ 115 (-48.89%)
ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
Stars: ✭ 151 (-32.89%)
SketchyganCode for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"
Stars: ✭ 113 (-49.78%)
KbganCode for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Stars: ✭ 186 (-17.33%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-50.22%)
NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
Stars: ✭ 152 (-32.44%)
Stylegan WebA web porting for NVlabs' StyleGAN.
Stars: ✭ 112 (-50.22%)
Conditional GanTensorflow implementation for Conditional Convolutional Adversarial Networks.
Stars: ✭ 202 (-10.22%)
GraphwavemachineA scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Stars: ✭ 151 (-32.89%)
PaysageUnsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (-51.56%)
Gan2shapeCode for GAN2Shape (ICLR2021 oral)
Stars: ✭ 183 (-18.67%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-52%)
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-5.33%)
Unet Stylegan2A Pytorch implementation of Stylegan2 with UNet Discriminator
Stars: ✭ 106 (-52.89%)
DvbprPersonalized Fashion Recommendation and Generation
Stars: ✭ 150 (-33.33%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+675.11%)
Gan Weight NormCode for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Stars: ✭ 182 (-19.11%)
Stefann🔥 STEFANN: Scene Text Editor using Font Adaptive Neural Network @ The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Stars: ✭ 148 (-34.22%)
Back2future.pytorchUnsupervised Learning of Multi-Frame Optical Flow with Occlusions
Stars: ✭ 104 (-53.78%)
P2palaPage to PAGE Layout Analysis Tool
Stars: ✭ 147 (-34.67%)
DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Stars: ✭ 180 (-20%)
VizukaExplore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-55.56%)
Jsis3d[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds
Stars: ✭ 144 (-36%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (-56%)
GeneganGeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
Stars: ✭ 142 (-36.89%)
Exposure correctionReference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.
Stars: ✭ 98 (-56.44%)
Gail TfTensorflow implementation of generative adversarial imitation learning
Stars: ✭ 179 (-20.44%)
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: ✭ 161 (-28.44%)
E3d lstme3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Stars: ✭ 129 (-42.67%)
FrontalizationPytorch deep learning face frontalization model
Stars: ✭ 160 (-28.89%)
Deepco3[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
Stars: ✭ 127 (-43.56%)