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PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Python code for evolving βanimatsβ (virtual organisms)
SImple, common-sense Bitcoin-themed Python ECC library
Mobile App for PyDelhi
Python EDM package interface to cppEDM
Accurate, efficient Earth Mover's Distance for Python (and MATLAB).
A Python package for analysing knots and links, in space-curves or from standard topological notations
Tools for computations in knot theory involving quandles, braids, and more.
An implementation of the LSTAR Grammatical Inference Algorithm
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
A library for encrypted, privacy preserving machine learning
Python wrapper for Yossi Rubner's implementation of the earth mover's distance (EMD)
Integration of IPFS with Python
Sensing-as-a-Service using Bitcoin for payment. Requested datum will be stored in block chain
Tools I've written in Python which are useful/necessary for my research
A mix of GAN implementations including progressive growing
Implementation of the Tsetlin Machine, Convolutional Tsetlin Machine and Regression Tsetlin Machine, with support for continuous features
A small and fast alternative (experimental) implementation of p5.js
My Notes fill in many details not made explicit in the book but which helped my understanding. I also include my solutions to problems. The Notes include solutions to a few additional problems.
A Mathematica package for quantum shuffle algebras calculations, including Lyndon-words bases construction
πA React-renderer for Three.js
Source code for ReCA
Applications of Empirical Dynamic Modeling from Time Series
Implementation of the Regression Tsetlin Machine
Solutions of Reinforcement Learning, An Introduction
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Workshop materials for PyCon 2018 workshop on reproducible analysis in Python
Resources for getting started
Presentation and notebook for the lightning talk A Quick Intro to Hidden Markov Models Applied to Stock Volatility presented in R/Finance 2017.
Recurrent Geometric Networks for end-to-end differentiable learning of protein structure
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.