First open-source data discovery and observability platform
Train machine learning models within Docker containers
Uncover insights, surface problems, monitor, and fine tune your LLM
Streamline your ML workflow
The standard data-centric AI package for data quality and ML
Performance Software for Cyclists, Runners, Triathletes and Coaches
Julia package of loss functions for machine learning
Pythonic tool for running machine-learning/high performance workflows
Light-weight, flexible, expressive statistical data testing library
AutoGluon: AutoML for Image, Text, and Tabular Data
Serve machine learning models within a Docker container
Universal modeling and simulation of fluid mechanics upon ML
Revolutionizing Biomedical Research with Advanced Machine Learning
The open standard for data logging
Open source annotation and labeling tool for image and video assets
Tool for visualizing and tracking your machine learning experiments
All-in-one web-based IDE specialized for machine learning
A portable SCADA/IoT platform centered on the MongoDB database server.
Real-time, incremental ETL library for ML with record-level depend
For building machine learning (ML) workflows and pipelines on AWS
Utility package for generating, loading, and processing ML datasets
Jupyter notebooks that demonstrate how to build models using SageMaker
Profile and monitor your ML data pipeline end-to-end
Create SageMaker-compatible Docker containers
Machine learning platform and recommendation engine on Kubernetes