📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Applied Deep Learning Course

Assignments and support code for Geoff Hulten's machine learning course.

PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially…

Get historical P/E, P/B and Div. Yield values indices listed on the National Stock Exchange, India.

Approaching (Almost) Any Machine Learning Problem

ValueNet: A Neural Text-to-SQL Architecture Incorporating Values

inferring sql queries from plain-text questions about tables

Multiple paper open-source codes of the Microsoft Research Asia DKI group

A curated list of awesome responsible machine learning resources.

Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting has…

Tricks for Colab power users

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

A R/Shiny application for learning, reasoning, inference, validation, visualization and web-deployment of Bayesian Network Models

🌎 machine learning tutorials (mainly in Python3)

🐦 Quickly annotate data from the comfort of your Jupyter notebook

Streamlit — A faster way to build and share data apps.

App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan

A collection of Bayesian data analysis recipes using PyMC3

List of Data Science resources: useful papers, posts, books and repos

Bayesian Data Analysis course at Aalto

Code for a tutorial on Bayesian Statistics by Allen Downey.

An introduction to Bayesian statistics using Python and (coming soon) R.

GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

A webscraper for the movie websites boxofficemojo.com and the-numbers.com

Bayesian Analysis with Python (Second Edition)

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

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 ;)