Sarrvesh (sarrvesh)

sarrvesh

Geek Repo

Company:Square Kilometre Array Observatory (SKAO)

Location:Cheshire, UK

Home Page:http://sarrvesh.github.io

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Sarrvesh's starred repositories

PolSpectra

A package for creating and manipulating tables of polarized radio spectra.

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pysm

PySM 3: Sky emission simulations for Cosmic Microwave Background experiments

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bilby

A unified framework for stochastic sampling packages and gravitational-wave inference in Python. Note that we are currently transitioning from git.ligo.org/lscsoft/bilby, please bear with us!

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galpynamics

Dynamics of spheroidal and disc galactic components

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stanford-cs193g-sp2010

This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010

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craft

Constraining and Restoring iterative Algorithm for Faraday Tomography

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gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

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showyourwork

A workflow for reproducible and open scientific articles

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WebGL-Fluid-Simulation

Play with fluids in your browser (works even on mobile)

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plumber

Image plane polarization leakage correction for radio interferometers

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prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

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FRion

Ionospheric Faraday rotation correction for Stokes Q/U cubes

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pygedm

Python bindings for YMW16, NE2001 and YT2020 electron density models

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jaxns

Probabilistic Programming and Nested sampling in JAX

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vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

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ant-design

An enterprise-class UI design language and React UI library

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sph-python

Smoothed-Particle Hydrodynamics simulation of Toy Star

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fixuid

Go binary to change Docker container user/group and file permissions at runtime

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astronomaly

A flexible framework for anomaly detection in astronomy.

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ml_esac

Machine learning tutorial at the ESAC Data Analysis & Statistics Workshop 2017

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ml-tutorials

A collection of machine learning tutorials I've created for teaching purposes

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GASKAP_Imaging

contains all necessary scripts for imaging the calibrated ASKAP visibilities with CASA within a supercomputer architecture

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synchrofit

Code for modelling a radio spectrum using the JP, KP or CI models.

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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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KATObitPipe

MeerKAT Obit based continuum and imaging pipelines

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dynspec

Python/CASA tools for reducing JVLA data to produce dynamic spectra

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xarray-fits

xarray FITS

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killMS

Package for direction dependent calibration

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DDFacet

DDFacet Imaging Project

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