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Eurybia monitors data and model drift over time and securizes model deployment with data validation.
A hands-on course to train and deploy a serverless API that predicts crypto prices.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
An Easy-to-Use and High-Performance AI deployment framework.
Tutorial on Python time-series model deployment.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
PyGPT is an open‑source desktop AI assistant for Windows, macOS and Linux. Chat, agents, web search, run Python, TTS/STT, plugins, long‑term memory.
A machine learning / bayesian inference assigning attributes to objects.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Assemble, configure, and deploy autonomous AI Agents in your browser.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
AI Jukebox supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Helps teams build, deploy, observe or operate machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Amadeus Code supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.