Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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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.
Neural networks framework in pure C: training and inference, no dependencies.
An Easy-to-Use and High-Performance AI deployment framework.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Easy-to-use library to boost AI inference.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
Version and deploy your ML models following GitOps principles.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Neural network inference from the command line, implemented in CHICKEN Scheme.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
Standardized Serverless ML Inference Platform on Kubernetes.
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.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.