Stars
A curated list of awesome Machine Learning frameworks, libraries and software.
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,…
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Excel-like data grid (table) component for React
Simple JupyterHub distribution for 1-100 users on a single server
Jupyter handsontable integration
⚡ Fast scatter density plots for Matplotlib ⚡
A friendly package for Kepler & TESS time series analysis in Python.
Fast & scalable MCMC for all your exoplanet needs!
This repo contains no notebook content; instead, this is a landing page that links to other repositories.
Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
Automagically remove trends from time-series data
Transit and Radial velocity Interactive Fitting tool for Orbital analysis and N-body simulations: The Exo-Striker
Easy command line tools for Kepler, K2 & TESS data analysis.
Python file chooser widget for use in Jupyter/IPython in conjunction with ipywidgets
Read the CCD guide here:
Gaussian mixture model for incomplete (missing or truncated) and noisy data
A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.
Lecture notes on stellar physics, graduate level
Modular image processing pipelines with Python. Built for Astronomy.
TESS FFI light curves fitted with effective PSF and decontaminated with Gaia DR3
Learning the LSST software Stack, by writing jupyter notebook tutorials.
Enabling jupyter extensions for use in Binder