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AutoML library for deep learning
Automated Time Series Forecasting
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
This curated list contains python packages for time series analysis
INACTIVE - please go to https://gitlab.com/juliensimon/aws
The OSINT project, the main idea of which is to collect all the possible Google dorks search combinations and to find the information about the specific web-site: common admin panels, the widespread file types and path traversal. The 100% automated.
Research in investment finance with Python Notebooks
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
A complete ML study path, focused on TensorFlow and Scikit-Learn
Bonus materials, exercises, and example projects for our Python tutorials
The QuantLib C++ library
A modular, high performance, headless e-commerce platform built with Python, GraphQL, Django, and React.
This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
High-performance TensorFlow library for quantitative finance.
Python tutorials and examples
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
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.