laranea Goto Github PK
Name: Kristof Leroux
Type: User
Company: Laranea
Location: Genk, Belgium
Blog: http://www.laranea.be
Name: Kristof Leroux
Type: User
Company: Laranea
Location: Genk, Belgium
Blog: http://www.laranea.be
Threshold analysis
Machine Learning for Quantitative Finance
Repository for the (mostly Python) code developed as part of the MBIE Smart Ideas project on Machine Learning for seasonal climate forecasting in New Zealand
code for my O'Reilly masterclass videos
My analysis of Kaggle Contest problems
Experimenting with de Prado Machine Learning methods in Finance, using BTC data
Open Machine Learning Course
Website dedicated to a book on machine learning for factor investing
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
nd009-cn-advanced-p1,针对Udacity CN MLND P1项目
nd009-cn-advanced-p2,针对Udacity CN MLND P2项目
nd009-cn-advanced-p4,针对Udacity CN MLND P4项目
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
Companion webpage to the book "Mathematics For Machine Learning"
Models and examples built with TensorFlow
Modern-Python-Cookbook-Second-Edition, published by Packt
A collection of modern/faster/saner alternatives to common unix commands.
Text and supporting code for Modeling and Simulation in Python
This is the episode schedule for the Molecular Dharma Series by Siraj Raval on Youtube
The stock market is unpredictable which makes it very difficult to come up with a model to predict the prices. There are many internal and external factors such as geopolitical news, economic data, unemployment data, and company fundamentals that impact stock prices. This research is not intended to predict any future prices for long term growth but to predict the price range for momentum stocks where it is profitable to enter and exit out to make a quick profit in short term. Momentum stocks are the stocks where the daily rate of change of the price is high.
Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
A Discord sentiment analysis bot that encourages positivity and rewards server members for saying nice things :). Built using Node.js and Discord.js
Monte Carlo methods for Reinforcement Learning (from Udacity's "Deep Reinforcement Learning Nanodegree Program").
Vectorized backtester and trading engine for QuantRocket
The foundational library of the Morpheus data science framework
exploring document space with embeddings
multi-rsync
The original sources of MS-DOS 1.25 and 2.0, for reference purposes
This Repository contains code developed during the "Applied AI" course at SRH Heidelberg in Novermber / December 2017
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.