AidasLiaudanskas

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.

AidasLiaudanskas/AutomaticLossWeightingPyTorch

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

AidasLiaudanskas/AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

AidasLiaudanskas/BEGAN-tensorflow

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

AidasLiaudanskas/DeepLearningImplementations

Implementation of recent Deep Learning papers

AidasLiaudanskas/Experiments_on_GANs

AidasLiaudanskas/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.

AidasLiaudanskas/improved-gan

code for the paper "Improved Techniques for Training GANs"

AidasLiaudanskas/improved_wgan_training

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

AidasLiaudanskas/keras-adversarial

Keras Generative Adversarial Networks

AidasLiaudanskas/Keras-GAN

Keras implementations of Generative Adversarial Networks.

AidasLiaudanskas/multitaskvision

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

AidasLiaudanskas/Neural-Style-MMD

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

AidasLiaudanskas/onnx2keras

Convert ONNX model graph to Keras model format.

AidasLiaudanskas/ppgn

Code for paper "Plug and Play Generative Networks"

AidasLiaudanskas/pytorch_model_summary

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

AidasLiaudanskas/PyTricks

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

AidasLiaudanskas/SmartGloves

AidasLiaudanskas/stochastic_optimisation

AidasLiaudanskas/synthesizing

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

AidasLiaudanskas/tensorflow-generative-model-collections

Collection of generative models in Tensorflow

AidasLiaudanskas/TTUR

Two time-scale update rule for training GANs

AidasLiaudanskas/website