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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
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Library for high performance deep learning inference on NVIDIA GPUs.
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Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
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Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
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One-button Heroku deploy for the Ghost blogging platform.
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Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
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Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
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Go binding for MXNet c predict api to do inference with a pre-trained model.
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Gobii is an open-source platform for deploying and managing browser-use agents at scale with a conversational interface and API.
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Creating semantic cache to store responses from LLM queries.
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GPU cluster manager for running and managing LLMs.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
github.com
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.
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Kubernetes-based system for hyperparameter tuning and neural architecture search.
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Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Open source MLOps project that eases model handoffs between data scientist and DevOps.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Standardized Serverless ML Inference Platform on Kubernetes.
github.com
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.