Popular GitHub Repositories for Pipelines

ZenML ?: The bridge between ML and Ops. https://zenml.io.

Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.

A Julia machine learning framework

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Platform for Situated Intelligence

Train and run Pytorch models on Apache Spark.

MLOps Platform

A simple guide to MLOps through ZenML and its various integrations.

A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

Small scale distributed training of sequential deep learning models, built on Numpy and MPI.

Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):

Service for quick deploying and using dockerized Computer Vision models

Primitives for machine learning and data science.

Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML

Solution for deploying and managing end-to-end federated learning workflows

A library for exporting Spark ML models and pipelines to PFA

Bank customers churn dashboard with predictions from several machine learning models.

Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).

This repository provides resources and guidelines to facilitate the integration of Open-WebUI and Langfuse, enabling seamless monitoring and management of AI model usage statistics.

MLOps on AWS using Amazon SageMaker Pipelines