VocganVocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
Stars: ✭ 158 (-15.51%)
Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Stars: ✭ 173 (-7.49%)
Tensorflow Mnist CvaeTensorflow implementation of conditional variational auto-encoder for MNIST
Stars: ✭ 139 (-25.67%)
Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
Stars: ✭ 157 (-16.04%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-26.2%)
DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Stars: ✭ 180 (-3.74%)
GannotationGANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
Stars: ✭ 167 (-10.7%)
GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Stars: ✭ 1,700 (+809.09%)
GanimationGANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Stars: ✭ 1,730 (+825.13%)
Id CganImage De-raining Using a Conditional Generative Adversarial Network
Stars: ✭ 184 (-1.6%)
ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
Stars: ✭ 151 (-19.25%)
Srl ZooState Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Stars: ✭ 125 (-33.16%)
Synthetic2realisticECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"
Stars: ✭ 165 (-11.76%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-33.69%)
Pytorch GanA minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
Stars: ✭ 150 (-19.79%)
Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Stars: ✭ 122 (-34.76%)
PhpprojectA pure PHP library for reading and writing project management files
Stars: ✭ 179 (-4.28%)
Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (-35.83%)
Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Stars: ✭ 163 (-12.83%)
Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Stars: ✭ 3,409 (+1722.99%)
Person Reid Gan PytorchA Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
Stars: ✭ 147 (-21.39%)
StoryganStoryGAN: A Sequential Conditional GAN for Story Visualization
Stars: ✭ 184 (-1.6%)
The Gan ZooA list of all named GANs!
Stars: ✭ 11,454 (+6025.13%)
P2palaPage to PAGE Layout Analysis Tool
Stars: ✭ 147 (-21.39%)
Msg Gan V1MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
Stars: ✭ 116 (-37.97%)
Transparent latent ganUse supervised learning to illuminate the latent space of GAN for controlled generation and edit
Stars: ✭ 1,934 (+934.22%)
ImpersonatorPyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
Stars: ✭ 1,605 (+758.29%)
Lr Gan.pytorchPytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
Stars: ✭ 145 (-22.46%)
Sketch To Art🖼 Create artwork from your casual sketch with GAN and style transfer
Stars: ✭ 115 (-38.5%)
Pytorch cppDeep Learning sample programs using PyTorch in C++
Stars: ✭ 114 (-39.04%)
Vae SeqVariational Auto-Encoders in a Sequential Setting.
Stars: ✭ 145 (-22.46%)
PokeganCreats new kinds of pokemons using WGAN!
Stars: ✭ 112 (-40.11%)
GanResources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Stars: ✭ 2,127 (+1037.43%)
Nlp PapersPapers and Book to look at when starting NLP 📚
Stars: ✭ 111 (-40.64%)
TransformersumModels to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Stars: ✭ 107 (-42.78%)
Pose2poseThis is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
Stars: ✭ 182 (-2.67%)
Nmt gangenerative adversarial nets for neural machine translation
Stars: ✭ 110 (-41.18%)
Onnxt5Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Stars: ✭ 143 (-23.53%)
LexrankLexRank algorithm for text summarization
Stars: ✭ 108 (-42.25%)
Cyclegan Vc2Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
Stars: ✭ 158 (-15.51%)
UnitUnsupervised Image-to-Image Translation
Stars: ✭ 1,809 (+867.38%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-42.25%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (-42.25%)
Pix2latentCode for: Transforming and Projecting Images into Class-conditional Generative Networks
Stars: ✭ 141 (-24.6%)
Numpy MlMachine learning, in numpy
Stars: ✭ 11,100 (+5835.83%)
FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Stars: ✭ 176 (-5.88%)
DeblurganImage Deblurring using Generative Adversarial Networks
Stars: ✭ 2,033 (+987.17%)
MojitalkCode for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
Stars: ✭ 107 (-42.78%)