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Skipper Seabold's starred repositories

cpython

The Python programming language

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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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container.training

Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.

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geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

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ipython-sql

%%sql magic for IPython, hopefully evolving into full SQL client

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vim-coffee-script

CoffeeScript support for vim

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boruta_py

Python implementations of the Boruta all-relevant feature selection method.

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fopnp

Foundations of Python Network Programming (Apress) — scripts and examples

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mining

Business Intelligence (BI) in Python, OLAP

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statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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jupyter2slides

Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js

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Kaggler

Code for Kaggle Data Science Competitions

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DrWhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

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semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

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triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras

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kernel_gateway_demos

Demos associated with the kernel gateway incubator project

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ipfn

Iterative Proportional Fitting for Python with N dimensions

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statsmodels-tutorial

Tutorial Created for SciPy 2012

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the-secret-of-the-big-guys

k-means + a linear model = good results

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python-curses-scroll-example

:tv: How to implement the scroll and paging in Python curses

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muffnn

Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn

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scikit-sports

Sports analysis library for Python

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dwhwrapper

cli wrapper for Teradata data warehouse utilities (BTEQ,etc..)

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C-Lasso

The replication data and files for Liangjun Su, Zhentao Shi and Peter Phillips (2016, Econometrica): “Identifying Latent Structures in Panel Data”

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resume

Bruno Bronosky's Resume

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s3drive

S3 backed ContentsManager for jupyter notebooks

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GMM-Lasso

The scripts for simulation results in "Estimation of Sparse Structural Parameters with Many Endogenous Variables" (2016), Econometric Reviews.

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calysto_lc3

Calysto Little Computer - LC3 Assembly Language for Jupyter

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CandleFlameSim

Candle flame simulator based on PIC Microcontroller

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vim-multimarkdown

Multimarkdown syntax plugin for vim

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