Sandeep Rana PhD's Projects
code to do galaxy abundance matching
(Unmaintained) Mac OS X service for frictionless import of NASA ADS and arXiv publications into BibDesk.
Automatically exported from code.google.com/p/astrolibpy
aum
A list of awesome astronomy projects
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
JAX - A curated list of resources https://github.com/google/jax
Lectures on Bayesian statistics and information theory
The course work for the applied machine learning course I am teaching at BYU
A simple Python module for reading and analyzing data from C2Ray and CubeP3M data files.
Curved-sky grAvitational Lensing for Cosmological Light conE simulatioNS
DESC Core Cosmology Library: cosmology routines with validated numerical accuracy
Object oriented Python code for computing various cosmological observables.
A collection of cmb analysis routines
Library to plot footprints of cosmological surveys
CMB polarization power spectral data and plotting
Interactive web tool to generate custom colormaps for Matplotlib / Matlab (http://jdherman.github.io/colormap).
A repo for code review sessions at CAS
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
This is a repository I have created for Qwik lab session in Coursera course on GitHub
problems from dailycodingproblem.com solved in Go
Analytical Web Apps for Python. No JavaScript Required.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data Science Projects Repository
A collection of scripts for analyzing DLAs, as used in arxiv:1209.2118
This repository contains the main source code of the EuclidEmulator, a fast and accurate tool to estimate the non-linear correction to the matter power spectrum.
The fastai book, published as Jupyter Notebooks
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)