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Skyfield's Projects

learngit icon learngit

There is the record of my first git learning.

liquid icon liquid

The Language-Integrated Quantum Operations (LIQUi|>) simulator

lisp-koans icon lisp-koans

Common Lisp Koans is a language learning exercise in the same vein as the ruby koans, python koans and others. It is a port of the prior koans with some modifications to highlight lisp-specific features. Structured as ordered groups of broken unit tests, the project guides the learner progressively through many Common Lisp language features.

mac-setup icon mac-setup

Installing Development environment on macOS

machine_learning icon machine_learning

Python coded examples and documentation of machine learning algorithms.

mdf icon mdf

Data-flow programming toolkit for Python

memnn icon memnn

Theano implementation of Memory Networks

mindmap2slide icon mindmap2slide

convert Mindnode Mindmap (textbundle format) to reveal.js slides

ml icon ml

Implementations of classic Machine Learning algorithms

motrix icon motrix

A full-featured download manager.

msys2 icon msys2

A software distro and building platform for Windows

nengo icon nengo

A Python library for creating and simulating large-scale brain models

neural-turing-machines icon neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

nlib icon nlib

Python Library of Numerical Algorithms

ntm icon ntm

Neural turing machine implementation

ntm-1 icon ntm-1

An implementation of Neural Turing Machines

nupic icon nupic

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

orgajs icon orgajs

parse org-mode content into AST

pattern icon pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

presidential-rnn icon presidential-rnn

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

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