abtinshahidi

Foundation_applied_machine_learning

A repo for notebooks, and homework for Foundation of Applied Machine Learning @ University of California, Riverside

astropy-tutorials

Tutorials for the Astropy Project

Cluster_bagpipes_script

Running bagpipes for the CANDELS data on a cluster/Google Cloud Computing instances

abtinshahidi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

astromodels

Spatial and spectral models for astrophysics

astroNN

Deep Learning for Astronomers with Tensorflow

astroquery

Functions and classes to access online data resources. Maintainer: @keflavich and @bsipocz

ccd-reduction-and-photometry-guide

demo_streamlit

Hercules

Hercules - Automated VPN Connect ✔️

jdaviz

JWST astronomical data analysis tools in the Jupyter platform

jupyter-book

Create an online book with Jupyter Notebooks and Jekyll

jupyterlab-google-drive

Cloud storage for JupyterLab using Google Drive

notebooks

numpy-ml

Machine learning, in numpy

Python

All Algorithms implemented in Python

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

sherlockml-boltzmannclean

Fill missing values in a Pandas DataFrame using a Restricted Boltzmann Machine

SOMfit

Training a SOM with model SEDs and mapping observed data to it.

stocknet-code

Code for stock movement prediction from tweets and historical stock prices.

stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

threeML

The Multi-Mission Maximum Likelihood framework (3ML)

umap-explorer

An interactive UMAP visualization of the MNIST data set.