Pattern Libraries

Learn how to design large-scale systems. Prep for the system design interview. Learning how to design scalable systems will help you become a better engineer. This is a continually updated, open sour…

It helps implement the dependency injection principle. You can override any provider with another provider. It also helps you in a re-configuring project for different environments: replace an API cl…

This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Pattern Recognition and Machine Learning book, as well as replicas for many of the graphs presented in…

Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" is …

The book's codebase can also be downloaded from the git repository at: Thank you!

StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets faster than you can say "Tokyo Tower" 😅 StringZilla is built on a very simple heuristic: If t…

Run the application from command prompt: You can also open a shell inside virtual environment: © MIT License

This repository contains all the code examples that I use in my YouTube videos. You'll find the link to the code in the description of each of the videos on YouTube. If you're a regular watcher, you …

Sardine is in its early stages of development, and we're actively seeking contributors to help enhance the project. If you're passionate about music and technology, we welcome your expertise, whethe…

This project represents a machine learning program that is able to recognize patterns inside Forex or stock data. In order to run the code you need to have the following libraries and programs instal…

CAIRIS (Computer Aided Integration of Requirements and Information Security) is a platform for modelling secure and usable systems. CAIRIS was built from the ground-up to support usability, requireme…

A Python package for graph kernels, graph edit distances and graph pre-image problem. to make this effective permanently. Check this paper for detailed description of graph kernels and experimental r…

Command line utility for converting images to seamless tiles. It overlays images with an alpha gradient. The resulting tiles can be used as textures in games, compositing and 3D modeling applications…

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some exam…

Pydiator is an in-app communication method. It provides that developing the code as an aspect. Also, it supports clean architecture infrastructure It is using design patterns such as chain of respons…