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Examples for Geomstats
Source Code for 'Applied Deep Learning' by Umberto Michelucci
Supplementary material of the book "Applied multiple imputation. Advantages, Pitfalls, New Developments and Applications in R"
Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II
Source Code for 'Applied Reinforcement Learning with Python' by Taweh Beysolow
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
Course P2.9 of Master HPC; Python
Apps Script samples for Google Workspace products.
A simple implementation of Apriori algorithm by Python.
The project focuses on detecting custom AR tags that are used for obtaining a point of reference in the real world, such as in augmented reality applications.
Detection of ar tags without opencv homography functions
Source Code for 'AR and VR Using the WebXR API' by Rakesh Baruah
C library for arbitrary-precision interval arithmetic
A partial implementation of Jason Weber and Joseph Penn's paper, "Creation and Rendering of Realistic Trees", from SIGGRAPH 1995. Used as a basic example on how one could set up nested object instance hierarchies to maximize memory efficiency in RenderMan.
ARCH models in Python
This demo uses the new Evergine Area Light capabilities to create special soft light effects.
The AREPO visualization toolkit, a ray-tracing Voronoi tessellation volume renderer.
Ariadne is a Python library for implementing GraphQL servers using schema-first approach.
ArrayFire: a general purpose GPU library.
ArrayFire.js - ArrayFire for Node.js
ArrayFire's Machine Learning Library.
Python bindings for ArrayFire: A general purpose GPU library.
Rust wrapper for ArrayFire
Retained mode vector drawing API designed for multiple output modes. There's also a built-in SVG parser.
Track changes on online articles for statistical purposes
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Second Year project (Module: Artificial Intelligence Methods), focusing on implementing and evaluating AI Optimisation methods.
Source Code for 'Artificial Neural Networks with Java' by Igor Livshin
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.