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OpenAI Gym Environment API based Bitcoin trading environment
Minimalistic gridworld package for OpenAI Gym
h2o = fast statistical, machine learning & math runtime for bigdata
H2O - an optimized HTTP server with support for HTTP/1.x and HTTP/2
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
training material
Training materials for H2O World. See
Benchmarks of the H2O Ensemble R interface.
Hands-On Artificial Intelligence for Beginners, published by Packt
:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.
This project tries to replicate hedge funds returns.
Code for the Kaggle 2014 Holiday Competition: Helping Santa's Helpers
Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.
Market making algorithmic trading framework used to test reinforcement learning on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
This is the implementation for Hierarchical Risk Parity approach to portfolio optimization
The winning solution to the The Higgs Boson Machine Learning Challenge.
My second place solution to the Higgs Boson Machine Learning Challenge
R package for high frequency time series data management
The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.
A minimalist environment for decision-making in autonomous driving
list of R developers
Drives the HODL strategy to an automated level across crypto currencies.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Homesite Kaggle
A repository of all my posts on HopStat
Hierarchical Risk Parity
Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
Hierarchical Temporal Memory implementation in Java - an official Community-Driven Java port of the Numenta Platform for Intelligent Computing (NuPIC).
A genetic algorithm car evolver in HTML5 canvas.
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.