Popular GitHub Repositories for Runtime Validation

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

structured outputs for llms

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Secure open source cloud runtime for AI apps & AI agents

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

? Open-Source Evaluation & Testing for AI & LLM systems

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Sparsity-aware deep learning inference runtime for CPUs

A high-level machine learning and deep learning library for the PHP language.

TTS with kokoro and onnx runtime

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

A reactive runtime for building durable AI agents

Automatically find issues in image datasets and practice data-centric computer vision.

Perception toolkit for sim2real training and validation in Unity

NVIDIA Federated Learning Application Runtime Environment