Statsmodels: statistical modeling and econometrics in Python

Streamlit — A faster way to build and share data apps.

The Python programming language

The Fullstack Tutorial for GraphQL

Formatting support for Python using the Black formatter

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Feature Store for Machine Learning

Blog post explaining the algorithm behind interventional tree shap

A set of tools to keep your pinned Python dependencies fresh.

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

A game theoretic approach to explain the output of any machine learning model.

Dropbox's Bazel rules and tools

Natural Gradient Boosting for Probabilistic Prediction

Apache Spark - A unified analytics engine for large-scale data processing

Course code repository for Gradle for Android and Java

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

A stats collection and distributed tracing framework

Serverless Inferencing on Kubernetes

scikit-learn: machine learning in Python

Deep universal probabilistic programming with Python and PyTorch

Transport coordinate between earth(WGS-84) and mars in china(GCJ-02).

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"