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rafaelmri's Projects

pulse icon pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pyanimats icon pyanimats

Python code for evolving “animats” (virtual organisms)

pyedm icon pyedm

Python EDM package interface to cppEDM

pyemd icon pyemd

Accurate, efficient Earth Mover's Distance for Python (and MATLAB).

pyknotid icon pyknotid

A Python package for analysing knots and links, in space-curves or from standard topological notations

pyknots icon pyknots

Tools for computations in knot theory involving quandles, braids, and more.

pylstar icon pylstar

An implementation of the LSTAR Grammatical Inference Algorithm

pynamical icon pynamical

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

pysyft icon pysyft

A library for encrypted, privacy preserving machine learning

python-emd icon python-emd

Python wrapper for Yossi Rubner's implementation of the earth mover's distance (EMD)

python-sensornode icon python-sensornode

Sensing-as-a-Service using Bitcoin for payment. Requested datum will be stored in block chain

pythontools icon pythontools

Tools I've written in Python which are useful/necessary for my research

pytsetlinmachine icon pytsetlinmachine

Implementation of the Tsetlin Machine, Convolutional Tsetlin Machine and Regression Tsetlin Machine, with support for continuous features

q5xjs icon q5xjs

A small and fast alternative (experimental) implementation of p5.js

quantum-mechanics---the-theoretical-minimum icon quantum-mechanics---the-theoretical-minimum

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.

quantum_shuffle_algebras icon quantum_shuffle_algebras

A Mathematica package for quantum shuffle algebras calculations, including Lyndon-words bases construction

redm icon redm

Applications of Empirical Dynamic Modeling from Time Series

rfinance17 icon rfinance17

Presentation and notebook for the lightning talk A Quick Intro to Hidden Markov Models Applied to Stock Volatility presented in R/Finance 2017.

rgn icon rgn

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

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