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bayesian_regression

classifiergan

This paper mainly classifies the samples generated by GAN model

corner-detection

csnln-pytorch

PyTorch implemnts `Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining` paper.

cyclegan-pytorch

A very simple implementation of cyclegan, which is based on pytorch.

deep-learning-with-python3

Book "Deep Learning with Python" python3 code

deep-reformulated-laplacian-tone-mapping

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

efficientnetv1-pytorch

PyTorch implements `EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks` paper.

em-algorithm

fast-neural-style-pytorch

This repository contains a pytorch implementation of an algorithm for fast neural style

graph

hdr

UW-Madison CS766 course project

hdr-10bpp-display-test

To test HDR 4k display on linux

hdr-reconstruction-using-deep-learning

Reconstruction of images making them HDR using deep learning

hdrcnn

HDR image reconstruction from a single exposure using deep CNNs

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

how-to-generate-gaussian-data-set

human-action-recogniton

TF slim implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

image-segmentation-kmeans

inceptionv4-pytorch

PyTorch implements `Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning` paper.

ising-and-heat-denoising-sampling-mcmc-hasting

ising-image-segmentation

ising_denoising

keras-efficientnet-regression

Apply transfer learning of EfficientNet to a custom regression problem with Keras and TensorFlow 2.

kmeans-simple-application

knn-for-iris-dataset

knn_crossvalidation

learnopencv

Learn OpenCV : C++ and Python Examples

longest-common-subsequence