evrospower's starred repositories
StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
promote-your-next-startup
🚀 Free resources you may use to promote your next startup
bigflow
Baidu Bigflow is an interface that allows for writing distributed computing programs and provides lots of simple, flexible, powerful APIs. Using Bigflow, you can easily handle data of any scale. Bigflow processes 4P+ data inside Baidu and runs about 10k jobs every day.
openfoodfacts-server
Open Food Facts database, API server and web interface - 🐪🦋 Perl, CSS and JS coders welcome 😊 For helping in Python, see Robotoff or taxonomy-editor
Email-Marketing
📪 Super customizable Emailing - Personalized Email & Mass emailing & Email CRM & CRM in your Inbox
openfoodfacts-laravel
Open Food Facts API wrapper for Laravel
ocm-system
Open Charge Map is the global public registry of electric vehicle charging locations. Established 2011. Help wanted.
goodneighbor
Twitter AI Platform
cordova-plugin-drawoverapps
Android Cordova Plugin that uses draw over all apps feature to display a HTML Web view , it supports displaying HTML file with style files and Javascript libraries and scripts
price_tracker
Price Tracker app for Android and iOS. Built with Flutter
application-nahj
Simple Book Application For Android
SkimPenny-chrome
Open-source price tracker for chromium browsers
Profile-Based-Recommendation-Engine
A recommendation engine that uses supervised learning techniques to predict user’s future trips on the basis of their past trips and preferences. Uses Microsoft Azure to implement machine learning techniques to create a user-specific profile. The recommendation system is built on deep learning (neural networks with backpropagation). The neural network was trained to recommend house listings which coincided with the user’s traits. It is a Spring MVC application using MongoDB and Morphia. 1.3 million listings and user data were stored in MongoDB. The listings that were recommended to the users were fed into MongoDB and were displayed in the application using Google Maps API. Being a frequent Airbnb user myself, my wish for a more personalized experience for planning my future Airbnb trips inspired the concept behind this project.