Supun Nanayakkara's Projects
👮 A PHP desktop/mobile user agent parser with support for Laravel, based on Mobiledetect
Django and React web app to recognize a face with AI
ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
A curated list of awesome Flask resources and plugins
A curated list of awesome Machine Learning frameworks, libraries and software.
A simple Blockchain in Python
🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Reverse engineered ChatGPT API
A Java client for the ChatGPT API. ChatGPT 的一个 Java 客户端。
"Easily integrate ChatGPT on your website with HTML, PHP, CSS & API-Key. Add GPT-3, 3.5, 3.5 Turbo & GPT-4 for simple, powerful AI-driven chat functionality with a simple clean and fancy HTML/CSS style.
Admin Dashboard Template Built On Tailwind CSS
Define and run multi-container applications with Docker
Eases the creation of beautiful and testable command line interfaces
The CSS design system that powers GitHub
China's first CTFTools framework.**国内首个CTF工具框架,旨在帮助CTFer快速攻克难关
Derek's Github Readme Profile!
Flexible authentication solution for Rails with Warden.
The aim of this machine learning application is that it can use to predict divorce. The dataset is the Divorce Prediction dataset by Larxel from the website: Kaggle. There are few models tested when developing the application, including Tree-based models like Decision trees, Random forest, XGBoost and a binary classification model called Logistic Regression. In addition, there are some data pre-processing techniques also used to analyze and normalize the dataset. Then, after applying the normalized datasets to all the models and predicting, some model optimizing methods used to get more accuracy. To build the final application, I have used the Flask framework in Python to expose the model via a REST web API. And i have used Reactjs framework to view frontend. To run as an artefact, I have used the requirements.txt technique in Pip dependency management.
The Web framework for perfectionists with deadlines.
Exposing several ports unnecessarily can be a security risk, by exposing ports there will be a channel for unsecured communications and unrestricted traffic. By creating a special networks for the containers to share, the host is isolated from the multiple containers utilized.
a tool to get Facebook data, and some Facebook bots, and extra tools found on Facebook Toolkit ++.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
A simple example of using Fast API in Python.
🚀 The easiest way to automate building and releasing your iOS and Android apps
fb-messenger-cli, console Facebook messenger
The Python micro framework for building web applications.
Socket.IO integration for Flask applications.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent