It is a high-performance causal inference (statistical model) computing library based on OLAP, which solves the performance bottleneck of the existing statistical model library (R/Python) under big…

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Survival analysis in Python

An in-memory NoSQL database implemented in Python.

Animation engine for explanatory math videos

Compositional Linear Algebra

fast and flexible Difference-in-Differences

Dynamic DML via G-estimation

An extensible framework for converting scikit-learn estimators into portable software

💥 Blazing fast terminal file manager written in Rust, based on async I/O.

scikit-learn: machine learning in Python

Jackknife Instrumental Variables Estimation

Jupyter notebooks to illustrate spatial regression functionality

All Algorithms implemented in Python

R inside Python

Tilting estimators for program evaluation for Python 3

Quantile Regression Forests compatible with scikit-learn.

Package management made easy

The fastest way to create an HTML app

Awesome resources on normalizing flows.

Open-source vector similarity search for Postgres

A scikit-learn compatible neural network library that wraps PyTorch

Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

A Python implementation of global optimization with gaussian processes.

A modular SQL linter and auto-formatter with support for multiple dialects and templated code.

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

POT : Python Optimal Transport

OpenMDAO repository.

A high-performance implementation of Wilkinson formulas for Python.