Awesome Bigdata

An Open Source Machine Learning Framework for Everyone

scikit-learn: machine learning in Python

Deep Learning for humans

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

The Open Source Feature Store for AI/ML

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

AI Infra / AI Orchestration / AI Control Plane

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

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

High performance distributed data processing engine

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).