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cnn_keras

CNN | Keras/PyTorch | CAPTCHA recognition（卷积神经网络、Keras/PyTorch框架、验证码识别）

cyclegan-tensorflow-2

CycleGAN Tensorflow 2

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。

diffgrad

diffGrad: An Optimization Method for Convolutional Neural Networks

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

elastic-impedance-inversion-using-recurrent-neural-networks

Codes and data for a manuscript in Interpretation Journal, Aug 2019

gan-circle

IEEE TMI 2019. CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

invtf

Easy to use tensorflow 2.0 implementation of invertible generative neural networks.

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pix2pix-tensorflow-1

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pytorch-invertible_neural_network

In this repo we implement an invertible neural network using PyTorch.

tensorflow-pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

thesis_python_code

Python code for PhD thesis - synthetic seismic wedge models, forced fold inversion, and thermal dyke models

u-net

U-Net: Convolutional Networks for Biomedical Image Segmentation

unet

unet for image segmentation

v-gan-tensorflow

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

vqa-mfb