CourageK's repositories
Attention-OCR
Visual Attention based OCR
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
papers
Summaries of machine learning papers
polyrnn-pp
Inference Code for Polygon-RNN++ (CVPR 2018)
Wide-Residual-Networks-1
Wide Residual Networks in Keras
image-clustering
This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet
mean-teacher
A state-of-the-art semi-supervised method for image recognition
triplet-loss-mnist
Triplet Loss 损失函数
librdkafka
The Apache Kafka C/C++ library
Andrew-Ng-Machine-Learning-Notes
The offical notes of Andrew Ng Machine Learning in Stanford University
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
DenseNet-Tensorflow-1
Reimplementation of DenseNet
Tianchi_Disease_session_1
天池糖尿病预测模型_未进复赛_
fund_regular
fund name regular
unsupervised-image-clustering
An unsupervised image clustering algorithm that uses VGGNet for image transformation. Python, scikit-learn and tensorflow.
computer-vision-top-conference-journal-list
List of Computer Vision top conferences and journals. 计算机视觉顶级会议与杂志列表。
DPSH-pytorch
A pytorch implementation for paper "Feature Learning based Deep Supervised Hashing with Pairwise Labels" with pytorch version
Multi-Label-Image-Classification
Multi Label Image Classification
tensorflow-image-classifier
image classifier, retrained for specific classes
cmake-demo
《CMake入门实战》源码
wide_resnets_keras
Keras implementation + pretrained weights for "Wide Residual Networks"
growth-in-action
全栈增长工程师实战
flasky
Companion code to my O'Reilly book "Flask Web Development".
ShapeNet
Lightweight scalable deep learning framework for shape analysis.
matplotlib-gallery
Examples of matplotlib codes and plots
vim
vim配置文件和插件
matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"