mlops

Private AI infrastructure for medical and neuroscience research, operated in Canada: private LLMs, serverless models, JupyterLab and federated learning on the AI4OS stack.

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.

A end-to-end MLOps pipeline for predicting telecom customer churn, featuring automated data preprocessing, ML model training, experiment tracking with MLflow, distributed training using PySpark, real-time inference via Kafka streaming, Airflow DAG orchestration, and Dockerized REST API deployment.

The Open Source Feature Store for AI/ML

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Hopsworks - Data-Intensive AI platform with a Feature Store

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

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!