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adversarialnetspapers

The classical papers and codes about generative adversarial nets

automaticlossweightingpytorch

PyTorch implementation of https://arxiv.org/abs/1705.07115 loss weighting

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

deeplearningimplementations

Implementation of recent Deep Learning papers

experiments_on_gans

fyusenet

FyuseNet is an OpenGL(ES) based library that allows to run neural network inference on GPUs that support OpenGL or OpenGL/ES, which is the case for most desktop and mobile GPUs on the market.

improved-gan

code for the paper "Improved Techniques for Training GANs"

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

keras-adversarial

Keras Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

multitaskvision

Code for 'Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics'

neural-style-mmd

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

onnx2keras

Convert ONNX model graph to Keras model format.

ppgn

Code for paper "Plug and Play Generative Networks"

pytorch_model_summary

pytorch model summary, statistic parameters number, memory usage, FLOPs and so on

pytricks

Collection of less popular features and tricks for the Python programming language

smartgloves

stochastic_optimisation

synthesizing

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

ttur

Two time-scale update rule for training GANs

website