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This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".
Cryptocurrency Exchange Websocket Data Feed Handler
A storage engine for cryptocurrency data
cuDF - GPU DataFrame Library
A python library for easy manipulation and forecasting of time series.
make a dash application embeddable
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Classifying tweets about or not about disasters
Programmable debugger
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
A Form and Data Management Platform for Progressive Web Applications.
A machine learning model that tries to predict the quality of your github profile
Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees
Powerful, proven, and extensible framework for building trading strategies at any frequency, with a focus on crypto currencies. Battle-tested with billions traded.
Attention mechanism Implementation for Keras.
Lynis - Security auditing tool for Linux, macOS, and UNIX-based systems. Assists with compliance testing (HIPAA/ISO27001/PCI DSS) and system hardening. Agentless, and installation optional.
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
An open source, low-code machine learning library in Python
Python helpers for building dashboards using Flask and React
a high-performance, high-precision CPU and memory profiler for Python
sidetable builds simple but useful summary tables of your data
A unified framework for machine learning with time series
Streamlit — The fastest way to build data apps in Python
Module for automatic summarization of text documents and HTML pages.
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Visualize and compare datasets, target values and associations, with one line of code.
:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.