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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

NumPy and Pandas interface to Big Data

a delightful machine learning tool that allows you to train, test, and use models without writing code

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Shōgun

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

StellarGraph - Machine Learning on Graphs

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Build, run and scale AI agents like API and microservices

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Machine learning platform for Web developers

An intuitive library to add plotting functionality to scikit-learn objects.

A modular active learning framework for Python

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Feature engineering and selection open-source Python library compatible with sklearn.

A toolkit for reproducible reinforcement learning research.

Streaming MapReduce with Scalding and Storm

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

S2 geometry library in Go

In-memory tabular data in Julia

Machine learning with dataframes

Hyper-parameter optimization for sklearn

ThunderSVM: A Fast SVM Library on GPUs and CPUs

The Python ensemble sampling toolkit for affine-invariant MCMC

Spearmint Bayesian optimization codebase

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.