pypl0/Ombre
Open source AI infrastructure layer. Eight agents run automatically: security, caching, memory, hallucination detection, and tamper-proof audit trail. Runs locally.
Open source engineering platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. (Source Code)
Uncover insights, surface problems, monitor and fine tune your generative LLM, CV and tabular models.
Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware.
In-context learning framework that allows agents to learn from execution feedback.
An Easy-to-Use and High-Performance AI deployment framework.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
A deep learning framework developed with cleanliness, readability, and speed in mind.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
C++
