Stars
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
Evaluation Tool for Anomaly Detection Algorithms on Time Series
The Eras Tour told by numbers
Data and Program files for Causal Inference: The Mixtape
Replication code and downloadable example data sets for The Effect
Google Cloud Client Libraries for Python
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Agent-based computational Economics, the Python library that makes AB modelling easier
Extremely fast Query Engine for DataFrames, written in Rust
Polars plugin offering eXtra stuff for DateTimes
This is a repository for the LinkedIn Learning course Python Statistics Essential Training
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
mdancho84 / prophet
Forked from facebook/prophetTool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
All the data for the Public Policy Analytics book by Ken Steif can be downloaded from this repo
Tutorials and Materials for MUSA 508 - Public Policy Analytics - University of Pennsylvania Weitzman School of Design
Nvidia contributed CUDA tutorial for Numba
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly wit…
Statistical Rethinking Course for Jan-Mar 2023
A Python package for causal inference in quasi-experimental settings
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Deep Learning Fundamentals -- Code material and exercises
Privacy-Preserving Machine Learning (PPML) Tutorial