Platform to programmatically author, schedule, and monitor workflows.
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MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Inference hosting for AI teams who ship fast and scale faster.
Bayesian Inference Tools in Python.
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
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.
Helps teams build, deploy, observe or operate machine-learning systems.
Layer - Neural network inference from the command line, implemented in.
I work to bring AI into production. I write about AI system design.
Runtime monitoring for AI agents — heartbeat watchdog, loop detection, cost tracking, auto-restart. Python SDK or HTTP API.
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.
A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.
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.