stefan-jansen Goto Github PK
Name: Stefan Jansen
Type: User
Company: https://www.applied-ai.com
Twitter: ml4trading
Location: Brooklyn
Name: Stefan Jansen
Type: User
Company: https://www.applied-ai.com
Twitter: ml4trading
Location: Brooklyn
Automatically exported from code.google.com/p/aima-data
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A collection of code snippets that can be constructed into larger trading algorithms.
Performance analysis of predictive (alpha) stock factors
Quantitative finance research tools in Python
Web interface for browsing, search and filtering recent arxiv submissions
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
A curated list of deep learning resources for computer vision
Python Backtesting library for trading strategies
A columnar data container that can be compressed.
A conda-smithy repository for bcolz-zipline.
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
Facilitates the use of the Census Geocoding Service API in batch format
A nonprofit community run, 5-day Deep Learning Bootcamp
Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication. Visit http://jug.gl for a live demo ...
Common financial risk and performance metrics. Used by zipline and pyfolio.
Event-driven data pipelines
A conda-smithy repository for exchange-calendars.
Calendars for various securities exchanges.
Computational data tools for financial economics. Keywords: Jupyter notebook pandas statistics GDP inflation CPI PCE Fed FRED Ferbus unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency Eurozone euro yen FX USD EUR JPY XAU gold Brent WTI oil Holt-Winters time-series forecasting econometrics
Python sync/async framework for Interactive Brokers API
Automate kaggle data download and ML docker container setup
Utilities for writing C++ extension modules.
Lifetime value in Python
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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.