Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
Kubernetes-based system for hyperparameter tuning and neural architecture search.
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 MLOps project that eases model handoffs between data scientist and DevOps.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Standardized Serverless ML Inference Platform on Kubernetes.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
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!
Serverless LLM apps on Production with Jina AI Cloud (Archived).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Neural network inference from the command line, implemented in CHICKEN Scheme.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A platform for deploying and serving machine learning models.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.