mjclawar

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@StratoDem

Durham, NC

https://stratodem.com

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Michael Clawar's starred repositories

mlops-stacks

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

Language:PythonApache-2.041400

functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Language:PythonApache-2.099900

dbdeclare

Declarative layer for your database.

Language:PythonMIT3900

pygris

Use US Census shapefiles in Python (port of the R tigris package)

Language:PythonMIT10500

QuantEcon.py

A community based Python library for quantitative economics

Language:PythonMIT192200

statsbombpy

Easily stream StatsBomb data into Python

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linearmodels

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

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BDA_course_Aalto

Bayesian Data Analysis course at Aalto

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awacs

Python library for AWS Access Policy Language creation

Language:PythonBSD-2-Clause39600

chalice

Python Serverless Microframework for AWS

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ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Language:PythonMIT1235200

CampaignFinance

NC Campaign Finance Dashboard. Making NC Campaign Funds visible to all citizens

Language:JavaScriptMIT3400

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

Language:ShellMIT-041400

datahub

The Metadata Platform for your Data Stack

Language:JavaApache-2.0959000

pycaret

An open-source, low-code machine learning library in Python

Language:Jupyter NotebookMIT876800

aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Language:PythonApache-2.0510000

awesome_time_series_in_python

This curated list contains python packages for time series analysis

compose

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Language:PythonBSD-3-Clause48800

evalml

EvalML is an AutoML library written in python.

Language:PythonBSD-3-Clause75100

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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ohsome-quality-api

Data quality estimations for OpenStreetMap

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ohsome-py

Python bindings for the ohsome API

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Azure-TDSP-Utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

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dslp

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

MIT40500

Azure-TDSP-ProjectTemplate

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

Language:RCC-BY-4.052800

AutoTS

Automated Time Series Forecasting

Language:PythonMIT109000

dagster-sklearn

dagster scikit-learn pipeline example.

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snowflake-connector-python

Snowflake Connector for Python

Language:PythonApache-2.057400

wagtail

A Django content management system focused on flexibility and user experience

Language:PythonBSD-3-Clause1779000

datawig

Imputation of missing values in tables.

Language:JavaScriptApache-2.047300