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An Easy-to-Use and High-Performance AI deployment framework.

Neural networks framework in pure C: training and inference, no dependencies.

Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.

Turns your ML code into microservices with web API, interactive GUI, and more.

OSINT tools for investigating websites

aware-online.com

Aware Online guide with website investigation tools for domains, pages, metadata, and infrastructure.

Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.

Parris, the automated infrastructure setup tool for machine learning algorithms.

Vector database plugin for Postgres, written in Rust, specifically designed for LLM.

MLOps and LLMOps, from the trenches.

Toronto winter road maintenance tracker showing snow plow locations and clearing progress.

Democratize and productionize Gen AI across your entire org with Portkey.

A workflow management system, designed for modern infrastructure.

Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.

OSINT.sh reverse domain lookup for finding related domains and infrastructure links.

Testing infrastructure for LLM and agentic applications with collaborative evaluation.

Provides containers to encapsulate and deploy EdgeML pipelines and applications.

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

Shodan

shodan.io

Search engine for internet-connected devices, exposed services, ports, and infrastructure data.

SinglebaseCloud supports deploying, serving, monitoring, or operating AI and machine-learning systems.

SocialBu supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Information infrastructure for the study of religion accessible via RelBib, the SIS´s web portal and online bibliography.

Internet asset intelligence platform for domains, IPs, certificates, and exposed infrastructure.

Stan supports deploying, serving, monitoring, or operating AI and machine-learning systems.

An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.