Stars
One-stop-shop for docs and test coverage of dbt projects.
Dagster Labs' open-source data platform, built with Dagster.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
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 ;)
Missing data visualization module for Python.
This repo contains a short version of a dask tutorial.
A Python package for time series classification
STUMPY is a powerful and scalable Python library for modern time series analysis
Python port of R's Comprehensive Dynamic Time Warp algorithms package
DuckDB is an analytical in-process SQL database management system
Implementation of statistical models to analyze time lagged conversions
The Economist's model to estimate excess deaths to the covid-19 pandemic
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Quickly and accurately render even the largest data.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Hierarchical Time Series Forecasting with a familiar API
New generation PostgreSQL database adapter for the Python programming language
Forecasting Functions for Time Series and Linear Models
Python code for "Probabilistic Machine learning" book by Kevin Murphy
An open collection of Python anti-patterns and worst practices.
This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.
Code accompanying the book "Machine Learning for Hackers"
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)