Power BI report .pbip templates and patterns to create special visuals, address specific problems, and have adventures..

A Python library that implements software engineering best-practice for data and ML pipelines.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry

Deploy your machine learning models to your cloud infrastructure - https://cortex.dev

Cheat Sheets

My GitHub blog: things you might be interested, and probably not...

Papers with code. Sorted by stars. Updated weekly.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Tutorial given at PyData LA 2018

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

Dask tutorial

Python Library for Model Interpretation/Explanations

Python codes for common Machine Learning Algorithms

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are al…

General statistics and numerical/sceintific computing scripts and notebooks in Python

Interactive Web Plotting with Bokeh in IPython notebook

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

An Introduction to Statistical Learning with Applications in PYTHON

personal blog

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code