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dilran

An attention-based Multi-Scale Feature Learning Framework for Multimodal Medical Image Fusion

discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

eigengan-tensorflow

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

ffa-net

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

fingering_dynamics

two phase lattice boltzmann with zou-he boundary and half way bounce-back

gan

Matlab implementation of a Generative Adversarial Network

gan-vis

Visualization of GAN training process

gan-zoo

gans-collections-tf2.0_keras-eager_mode

This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN

gans_tensorflowv2

GANs with tensorflow2.1, Using Customization Models

generative-model

Repository for implementation of generative models with Tensorflow 1.x

imcmc

Image Markov Chain Monte Carlo

improved_wgan_training

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

inn-surrogate

Solving inverse problems using conditional invertible neural networks.

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

keras_unet_plus_plus

keras implementation of unet plus plus

lattice-boltzmann-fluid-flow-in-tensorflow

A Lattice Boltzmann fluid flow simulation written in Tensorflow.

lbm-gas-flow-in-porous-media

LBM code for simulating gas flow in porous media

lbm_applications

LBM Python codes

lbmpy

This is a mirror of https://i10git.cs.fau.de/pycodegen/lbmpy. Use the gitlab page to create issues and merge requests.

lbpm

Pore scale modelling

learning-generative-adversarial-networks

Learning-Generative-Adversarial-Networks, published by Packt

lettuce

Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method

linux-command

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

lstm

基于LSTM神经网络的时间序列预测

matlab-machine-learning

Source Code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas

mlhub123

机器学习&深度学习网站资源汇总（Machine Learning Resources）

mnistgans

Some implementations of GAN.