Displaying 1 to 10 from 10 results

build-your-own-x - 🤓 Build your own (insert technology here)

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To the extent possible under law, Daniel Stefanovic has waived all copyright and related or neighboring rights to this work.

artistic-style-transfer - Convolutional neural networks for artistic style transfer.

  •    Jupyter

This repository contains (TensorFlow and Keras) code that goes along with a related blog post and talk (PDF). Together, they act as a systematic look at convolutional neural networks from theory to practice, using artistic style transfer as a motivating example. The blog post provides context and covers the underlying theory, while working through the Jupyter notebooks in this repository offers a more hands-on learning experience. If you have any questions about any of this stuff, feel free to open an issue or tweet at me: @copingbear.




fae-app - Example fae-cms based Rails 5 website and tutorial.

  •    Javascript

I've been developing with Ruby for about six years following a dozen years or more of Java. I generally focus on server and infrastructure development. Around 2009 I started looking at Groovy (Grails), a dynamic language that runs in the JVM. I used it in a consulting project to build a vertical social networking site for a client. It was pretty cool but it still had all the baggage and complexity of the Java ecosystem and its libraries. It did make delivering a full stack app relatively easy with some help from a designer on the HTML/CMS. I love Ruby! It's fun. Yes, there are many ways to do the same thing but isn't that just like the real world? It leaves a lot of room for creativity.

OpenCL-101 - Learn OpenCL step by step.

  •    C

Learn OpenCL step by step as below. Using Docker is convenient, which you don't need config and install enviroments for all about OpenCL. Of course, install Docker Community Edition first and then search relative images in DockerHub.

Pandas-Tutorial - Tutorial on Using Pandas

  •    Jupyter

I've been working with Pandas quite a bit lately, and figured I'd make a short summary of the most important and helpful functions in the library.

nlp-python-deep-learning - NLP in Python with Deep Learning

  •    Jupyter

This work builds on the outstanding work which exists on Natural Language Processing. These range from classics like Jurafsky's Speech and Language Processing to rather modern work in The Deep Learning Book by Longfellow et al. While they are great as introductory textbooks for college students - this is intended for practitioners to quickly read, skim, select what is useful and then proceed. There are several notebooks divided into 7 logical themes.


eventsourcing-go - Event Sourcing + CQRS using Golang Tutorial

  •    Go

Imagine that you are working for a large news publisher called Fairflax Media, inspired by flax flower (not to be mistaken with Fairfax Media, of course). You have been tasked with breaking the huge monolith system into microservices and moving everything to Kuberentes. You prefer domain driven design, and believe that each database should only ever be owned by a single application. But as time goes by, you notice that many services need common data. You need to make sure that the data is consistent across all services and the query performance is reasonable.

SSHServer - This is a tutorial on how to build a basic SSH Server in C#, but you are welcome to try following in any language

  •    CSharp

This is a tutorial on how to build a basic SSH Server in C#. The wiki is a step by step process for setup with explanation of the various terms. For extra credit, I also ported the SSH Server to NodeJS.