dmarx
Follow
MLOps - tools
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers an…
The Open Source Feature Store for Machine Learning
ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
Easy and Repeatable Kubernetes Development
Hopsworks - Data-Intensive AI platform with a Feature Store
♾️ CML - Continuous Machine Learning | CI/CD for ML
Studio: Simplify and expedite model building process
Open Source ML Model Versioning, Metadata, and Experiment Management
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Elyra extends JupyterLab with an AI centric approach.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
The Prometheus monitoring system and time series database.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Collection of common code that's shared among different research projects in FAIR computer vision team.
A cloud-native vector database, storage for next generation AI applications
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Voilà turns Jupyter notebooks into standalone web applications