Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
CEUS-Seg
deep learning based ultrasound image segmentation
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，近30万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
models
Models and examples built with TensorFlow
OpenCV-Python-Tutorial
OpenCV问答群1,QQ群号:187436093
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
yexuehua's Repositories
yexuehua/CEUS-Seg
deep learning based ultrasound image segmentation
yexuehua/Algorithms_MathModels
【国赛】【美赛】数学建模相关算法 MATLAB实现
yexuehua/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
yexuehua/Cell_classification
yexuehua/Cell_SR
yexuehua/CEUS
yexuehua/CT-Denoising-Review
review of CT denoising paper
yexuehua/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
yexuehua/Deep-learning
For my progress
yexuehua/deeplearning-models
A collection of various deep learning architectures, models, and tips
yexuehua/DeepUPE
Underexposed Photo Enhancement Using Deep Illumination Estimation
yexuehua/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
yexuehua/dissertation
co-edict my dissertation of super-resolution
yexuehua/DL_Deployment
For DL model deployment
yexuehua/DPED
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
yexuehua/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
yexuehua/Ebook
some nice
yexuehua/EDSR-Tensorflow
(using tensorboard)Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
yexuehua/Fixed-Point-GAN
Official implementation of Fixed-Point GAN - ICCV 2019
yexuehua/LearnITK
yexuehua/Machine-Learning
yexuehua/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
yexuehua/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
yexuehua/Math_Model
yexuehua/Mathmatical-modeling
For math
yexuehua/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
yexuehua/mmsr
Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc.
yexuehua/Python
All Algorithms implemented in Python
yexuehua/SegLoss
A collection of loss functions for medical image segmentation
yexuehua/WaveletSRNet
A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"