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Turns your ML code into microservices with web API, interactive GUI, and more.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
Bayesian Inference Tools in Python.
Open-source platform for high-performance ML model serving.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
Deploy a ML inference service on a budget in less than 10 lines of code.
An easy-to-use feature store. Optimized for time-series data.
Open-source tool that lets you package ML models in a standard, production-ready container.
Fast inference engine for Transformer models in C++.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
10x faster, cheaper, and better vector database.
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
A library for efficient similarity search and clustering of dense vectors.
FeatherCNN is a high performance inference engine for convolutional neural networks.
An enterprise-grade, high performance feature store.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
Go binding for MXNet c predict api to do inference with a pre-trained model.
Create customizable UI components around your models.
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
Kubernetes-based system for hyperparameter tuning and neural architecture search.