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Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

Comparative analysis of pairwise interactions in multivariate time series.

A Julia library for solving Wordle puzzles.

Probabilistic time series modeling in Python

A library that allows for inference on probabilistic models

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

NeuralProphet: A simple forecasting package

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Named Tensor implementation for Torch

Minimal example showing possibility of the precompilation

CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.

Bayesian optimization in PyTorch

Adaptive Experimentation Platform

PyStan, the Python interface to Stan

Always know what to expect from your data.

Variational autoencoders for collaborative filtering

t-SNE experiments in pytorch

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A dashboard of key metrics for the USA

dplyr for python

rstanarm R package for Bayesian applied regression modeling

Working repository for Causal Tree and extensions

PDF and python files for creating time maps and downloading tweets

Prototype python services with as little code as possible

Wrappers of Jerome Friedman's coordinate-descent Fortran implementation of lasso/elastic net regression from the R "glmnet" package.

Java port of Facebook's PlanOut A/B testing system with additional functionality

Python interface to Hive and Presto. 🐝