Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

A Collection of GitHub Actions That Facilitate MLOps

Examples of Machine Learning code using Comet.ml

Beimingwu is the first systematic open-source implementation of the learnware dock system, providing a preliminary research platform for learnware studies and enabling effective learnware search and reuse without building machine learning models from scratch.

Based on the learnware paradigm, the learnware package supports the entire process including the submission, usability testing, organization, identification, deployment, and reuse of learnwares. Simultaneously, this repository serves as Beimingwu's engine, supporting its core functionalities.

A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀

Comet-For-MLFlow Extension

A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀

big data processing and machine learning platform，just like useing sql

Distributed Machine Learning Studio

Open-Source Machine Learning Platform

A curated list of awesome open source tools and commercial products for autoML hyperparameter tuning 🚀

用Python编写的基于Web的SQLite数据库浏览器

A Proof of Concept for Operationalizing Scientific Methods with Machine Learning Platforms

Enterprise digital laboratory for machine learning that organizes the full ML development lifecycle in a managed, reproducible form within a single operational context with common execution, security, and audit rules.