StarnetStarNet
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KimeraIndex repo for Kimera code
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Tac GanA Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)
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DeodrA differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
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SeganA PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
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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.
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Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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AshpyTensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
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Pytorch StudioganStudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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Inr GanAdversarial Generation of Continuous Images [CVPR 2021]
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Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
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3d IwganA repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
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NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
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3dpose ganThe authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
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BicycleganToward Multimodal Image-to-Image Translation
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CartoonifyDeploy and scale serverless machine learning app - in 4 steps.
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GanomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
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Obman train[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images
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GazeanimationGive a portrait face, move the gaze up
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Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
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Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
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LeakganThe codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
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Gail TfTensorflow implementation of generative adversarial imitation learning
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PorousmediaganReconstruction of three-dimensional porous media using generative adversarial neural networks
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Bmsg Gan[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
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Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
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Unified Gan TensorflowA Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
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MmeditingOpenMMLab Image and Video Editing Toolbox
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SltkAn OpenCV-based structured light processing toolkit.
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Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
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Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
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ArteditingModeling Artistic Workflows for Image Generation and Editing (ECCV 2020)
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Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
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Pytorch GanA minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
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GdwctOfficial PyTorch implementation of GDWCT (CVPR 2019, oral)
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Cycle Gan TfReimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.
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