Awesome Machine Learning

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

Shōgun

StellarGraph - Machine Learning on Graphs

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

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/

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

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.

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

Machine learning with dataframes

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

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

ML powered analytics engine for outlier detection and root cause analysis.

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Python package for Bayesian Machine Learning with scikit-learn API

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

Ruby language bindings for LIBSVM

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Library for machine learning stacking generalization.