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academiccontent

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

applied-economics

course material for the course applied economics

applied-ml

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

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

auto-causality

AutoML for causal inference.

autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

autots

Automated Time Series Forecasting

awesome-economics

A curated collection of links for economists

awesome-oss-alternatives

Awesome list of open-source startup alternatives to well-known SaaS products 🚀

awesome-research

:seedling: a curated list of tools to help you with research/life

banking-fb-sentiment-analysis-ro-bert-

censusreporter-workbench-module

A simple cjworkbench module to import data from Census Reporter

check

Development environment for Meedan Check, a collaborative media annotation platform

cjworkbench

The data journalism platform with built in training

cjworkbench-api

api.workbenchdata.com server

cjworkbench-deploy

Deploy cjworkbench to a Kubernetes cluster

contextualsp

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

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

data-science-ipython-notebooks

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, AWS, and various command lines.

datascience

Curated list of Python resources for data science.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dse210_probability_statistics_python

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

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.

fecon235

Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

finnts

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

flaml

A fast library for AutoML and tuning.

forecasting

Time Series Forecasting Best Practices & Examples

fost

FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.

graphic-walker

An open source alternative to Tableau. Easily embedded as a component in web apps.

graspologic

Python package for graph statistics