Apps tagged with 'mlops'

Mistral AI Studio is an enterprise platform for building, evaluating, and running AI applications in production. It combines model access with operational tooling so teams can design use cases, observe real usage, and deploy with privacy, security, and full data ownership across...

Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions.

Argilla: the open-source data curation platform for LLMs.

A fast, modular AI automation agent designed to handle complex workflows with minimal setup. It focuses on speed, extensibility, and clean architecture.

Censius is an AI Observability Platform that helps organizations of all scales confidently make their machine learning models work in production. The company launched its flagship AI observability platform that helps bring accountability and explainability to data science...

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support.

Aureo.io is a revolutionary low-code platform that focuses on building artificial intelligence. It provides users with the capability to create pipelines, automations and integrate them with artificial intelligence models – all with their basic data.

The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in data, train a model, and deploy to production automatically.

Using 2 lines of code, track your Machine learning experiments (with both features and parameters used) while using python. Do this while working in the environment you are most comfortable in i.e Jupyter Notebook, Spyder, python script on command line.

VESSL is an end-to-end ML/ MLOps platform that enables machine learning engineers (MLEs) to customize and execute scalable training, optimization, and inference tasks in seconds. These individual tasks can then be pipelined using our workflow manager for CI/CD.

Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats.

Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in...

No-code / low-code computer vision platform that uses machine learning techniches for object-detection, segmentation and OCR.