A Python implementation of global optimization with gaussian processes.

The Z3 Theorem Prover

A non-validating SQL parser module for Python

Reference paper: "Determining the Largest Overlap between Tables" (Luca Zecchini, Tobias Bleifuß, Giovanni Simonini, Sonia Bergamaschi, Felix Naumann). Proceedings of the ACM on Management of Data …

Python tool for converting files and office documents to Markdown.

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

Master programming by recreating your favorite technologies from scratch.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Confidence sequences and uniform boundaries

The fastest way to create an HTML app

Incremental Knowledge Graphs Constructor Using Large Language Models

CodeGeeX4-ALL-9B, a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.

Python SQL Parser and Transpiler

🕸️ Web apps in pure Python 🐍

Algorithms for outlier, adversarial and drift detection

Anomaly detection related books, papers, videos, and toolboxes

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

Maestro: Netflix’s Workflow Orchestrator

TODS: An Automated Time-series Outlier Detection System

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

NeuralProphet: A simple forecasting package

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

[Experimental] Global causal discovery algorithms

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

SR-CNN