Sh4zKh4n

Sh4zKh4n

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Sh4zKh4n's repositories

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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AstronomicalData

An introduction to working with astronomical data in Python.

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bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

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bmvc_2019

PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"

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courses

fast.ai Courses

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dask-examples

Easy-to-run example notebooks for Dask

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dask-image-talk-2020

PyConlineAU 2020 talk - dask-image library

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deepgraph

Analyze Data with Pandas-based Networks. Documentation:

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DiffuserCam

DiffuserCam Processing Code

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echomods

Open source ultrasound processing modules and building blocks

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fastgpu

A queue service for quickly developing scripts that use all your GPUs efficiently

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from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

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graphspectra

Python tools for using spectral graph theory to analyze data

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image-processing-1

Image Processing with Python

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ip

Final Year Individual Project at the University of Southampton

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ITKElastix

An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images

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ml-cookbook

Machine learning notebooks and code used for demonstration purposes

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n2v

This is the implementation of Noise2Void training.

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numpy-100

100 numpy exercises (with solutions)

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pyntcloud

pyntcloud is a Python library for working with 3D point clouds.

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pysketcher

Python-based drawing tool for making sketches of mechanics problems.

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riemann_book

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.

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SC20_pyHPC

pyHPC workshop

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skan

Python module to analyse skeleton (thin object) images

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textbook

The textbook Computational and Inferential Thinking: The Foundations of Data Science

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ThinkComplexity2

Book and code for Think Complexity, 2nd edition

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ThinkPython

Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.

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