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The Database Toolkit for Python
Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
Staq is a Javascript library for building Software-as-a-Service (SaaS) products
Learning embeddings for classification, retrieval and ranking.
A clean Bootstrap blog theme created by Start Bootstrap
A responsive, Bootstrap landing page template created by Start Bootstrap
A web app landing page theme created by Start Bootstrap
Opinionated SaaS quick-start with pre-built user account and organization system for full-stack application development in React, Node.js, GraphQL and PostgreSQL. Powered by PostGraphile, TypeScript, Apollo Client, Graphile Worker, Graphile Migrate, GraphQL Code Generator, Ant Design and Next.js
🦄 Command line interface to generate startup ideas.
Click a button and receive a randomized startup idea!
A Python package that creates name suggestions for companies, software, etc.
A portfolio theme for Jekyll for artists to display their work - http://chrisanthropic.github.io/starving-artist-jekyll-theme/
A Git-based CMS for Static Site Generators
jQuery Plugin for Sticky Objects
Library for sticky elements written in vanilla javascript
Regression, Scrapers, and Visualization
Simple to use interfaces for basic technical analysis of stocks.
Simple stock & cryptocurrency price forecasting console application, using PHP Machine Learning library (https://github.com/php-ai/php-ml)
A demonstration of stock price forecast using machine learning techniques
:chart_with_upwards_trend: A web based stock forecaster in Django with predictive analysis
Using LSTMs (a type of recurrent neural network), we will predict the opening stock price of the next day taking into account the past data.
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Stock market forecasting using the ARIMA model.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
scraps historical stock market data from https://finance.yahoo.com/
Scrape financial News from Yahoo and analyse the sentiment (PoC)
📰 Web app built with Flask that given a stock ticker will scrape dozens of articles off of Nasdaq.com and run them through a machine learning model for analysis.
Machine learning pipeline for training TensorFlow models to forecast stock prices. Written in Python.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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.