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Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI, trusted by teams.

Python materials for the online course on diffusion models by @huggingface.

Humanloop

humanloop.com

LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems.

Hydrosphere

github.com

Platform for deploying your Machine Learning to production.

Hydrosphere Mist

github.com

A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Hyperparameter-Optimization-of-Machine-Learning-Algorithms

github.com

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

IISH Dataverse

datasets.iisg.amsterdam

Research data portal for exploring early modern history records, including dataset.

Infer.NET 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.

Jardin des Modes is a magazine publishing features, commentary and specialist editorial coverage.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Kubernetes-based system for hyperparameter tuning and neural architecture search.

Keras GPT Copilot

github.com

A python package that integrates an LLM copilot inside the keras model development workflow.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

Open-source project that 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.

Standardized Serverless ML Inference Platform on Kubernetes.

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.

KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.

lanarky

github.com

FastAPI framework to build production-grade LLM applications.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!