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Public material for CS109
Public Repository for cs109a, 2017 edition
Even the smallest system is infinitely interconnected, which is a sad story for predictors :p
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
Solving a logistic planning problems for an Air Cargo transport system with AI
Algo execution engine
Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (http://cs.nyu.edu/courses/fall16/CSCI-GA.2566-001/index.html/)
Algorithmic Trading, Baruch course project
Semi-automated investing strategy (risk parity)
quantitative security portfolio analysis
A python wrapper for Alpha Vantage API for financial data.
Performance analysis of predictive (alpha) stock factors
open course on coursera.org Stanford University
Final Year Project
ARCH models in Python
High performance datastore for time series and tick data
Statistical analysis of lognormal asset returns
Scripts for the Kaggle Algorithmic Trading Challenge
Presentation for QuantCon 2016
A curated list of awesome Dash (plotly) resources
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
An All-in-one Monitoring and Utility tool for AWS Elastic Beanstalks and their respective components.
The AWS Tag Auditor is an automated process that scans through Amazon resources for missing tags
An AWS search and replace Key Tagger for S3, ASG and/or EC2 instances
The AWS Tagger reads through a tab-delimited file and makes e appropriate tag corrections on S3, ASG and/or EC2 instances
:exclamation: This is a read-only mirror of the CRAN R package repository. backtest — Exploring Portfolio-Based Conjectures About Financial Instruments
Barra-Multiple-factor-risk-model
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.