painlessdocker has created a cheetsheet for docker.
There is a nice article summarizing the advances of object detection via deep learning: Object detection: an overview in the age of Deep Learning. For
A repository in Github has put up the largest collection of machine learning models that work with Apples Core ML standard, to help iOS developers experiment with machine learning techniques.
Design patterns implemented in Java is a very website help you learn the design patterns in
GAN, or Generative Adversarial Network, has been more and more popular, especially when you train your network creates something other than classification and regression. Github repository has kinderly collect all the variations of GANs and their implementation in a single repository.
Scholars from Shanghai Jiaotong Universities has proposed a new method for compressing the neural networks. Their method is able to reduce the size of the network to
1/30 while maintaining the accuracies.
stackoverflow has some interesting findings in the usage of programming languages in developed countries and developing countries.
Glyphicons from Bootstrap has very useful and popular, when you need some simple icon. However, in Bootstrap 4, the Glyphicons has been removed. However, it does suggestion several alternatives to achieve the same purpose: