subhodeep's repositories

Dendro-GR

Numerical relativity with octree based wavelet adaptive mesh refinement.

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SpinningBlackHoles.jl

SpinningBlackHoles is a pseudospectral solver tailor-made to obtain stationary and axisymmetric black hole solutions in modified theories of gravity.

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MSci_Schwarzschild_Causets

Library for simulating causal sets in order to calculate black hole entropy over a Schwarzschild horizon in 4D (Python and C++)

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pandas-tutorial

适合初级到中级晋升者,有了体系之后就看熟练度了。

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GBH

Numerical code for calculating rotating galactic black holes

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MachineLearningPhysicalSc.jl

Repository for the codes in my upcoming book on Machine Learning

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star_formation_notes

A set of notes on star formation

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CFDPython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

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qnmfits

Least-squares fitting of quasinormal modes to ringdown waveforms.

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Example-Tikz-Figures

Example tikz figures that I have made over the years. These are probably not useful for anyone but myself.

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theoretical-physics

Source code of the Theoretical Physics Reference online book

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odw-2023

Tutorials for GW Open Data Workshop, 2023

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Mathematica-for-physics

Mathematica Packages for Physicists

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Python_Simulations

Various Python Simulations

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xhorizon

xhorizon: A python package for the explicit computation and drawing of Penrose diagrams in general relativity.

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scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

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aapt

ipython notebooks for physics teachers

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subhodeeps.github.io

My academic website hosted on Github Pages using Academic Pages template, forked from mmistakes/minimal-mistakes

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TeukEvolution.jl

Evolution of Teukolsky equation in the time domain. One goal for this code: that is is an "improved" version of the teuk-fortran code

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Python_compendium

Nights for coding

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grtensor

GRTensorIII package for Maple

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hacker-scripts

Based on a true story

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scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

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ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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Corfu_school

Material for the 2023 Kavli School on GWs

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compy_phys_julia

Here I am uploading codes that I am writing while learning Julia, focused on examples drawn from physics

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