Typescript client for working with Chalk

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

EvalML is an AutoML library written in python.

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

SIREN Scalable, Isotropic Recursive Column Multimodal Neural Architecture with Device State Recognition Use-Case

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

🔬motif-learn: machine learning in scanning transmission electron microscopy

Python package implementing transformers for pre processing steps for machine learning.

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

This is a collection of all the machine learning techniques required in any machine learning project. It contains detailed descriptions, videos, book recommendations, and additional material to properly grasp all the concepts. It also contains implementations in various frameworks.

Flexible time series feature extraction & processing

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Machine learning pipelines running using Kubeflow over K8s

An open source python library for automated feature engineering

A database-like benchmark of feature generation from time-series data

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

An intuitive library to extract features from time series.