WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
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char-VAEInspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
Stars: ✭ 18 (-85.37%)
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Stars: ✭ 2,656 (+2059.35%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
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Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
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Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Stars: ✭ 505 (+310.57%)
Machine-Learning🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
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Generative Evaluation PrdcCode base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
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Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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GraphCNN-GANGraph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
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Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
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SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
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SganStacked Generative Adversarial Networks
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MMD-GANImproving MMD-GAN training with repulsive loss function
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DraganA stable algorithm for GAN training
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py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
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ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
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FineGrainedVisualRecognitionFine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.
Stars: ✭ 19 (-84.55%)
CadganICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
Stars: ✭ 19 (-84.55%)
Mnist inception scoreTraining a MNIST classifier, and use it to compute inception score (ICP)
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The Third EyeAn AI based application to identify currency and gives audio feedback.
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TriangleGANTriangleGAN, ACM MM 2019.
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Math object detectionAn image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Stars: ✭ 52 (-57.72%)
favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
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Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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pytorch-GANMy pytorch implementation for GAN
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simpleganTensorflow-based framework to ease training of generative models
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Alae[CVPR2020] Adversarial Latent Autoencoders
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A Nice McCode for "A-NICE-MC: Adversarial Training for MCMC"
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Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
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Hccg CycleganHandwritten Chinese Characters Generation
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Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (-2.44%)
Generative artA collection of my generative artwork, mostly with Processing in Python mode
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NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
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DmmDeep Markov Models
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SketchyganCode for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"
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DeliganThis project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Stars: ✭ 103 (-16.26%)
Learn Machine Learning In Two MonthsNhững kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
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Torch GqnPyTorch Implementation of Generative Query Network
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Tensorflow Object Detection TutorialThe purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
Stars: ✭ 113 (-8.13%)