Popular GitHub Repositories for Schema Validation

structured outputs for llms

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

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.

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

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

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

Perception toolkit for sim2real training and validation in Unity

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

A tool for generating function arguments and choosing what function to call with local LLMs

A full pipeline AutoML tool for tabular data

Faster structured generation

State-of-the art Automated Machine Learning python library for Tabular Data

Up to 45x faster ? Auto generate type-safe validation code for structs based on markers.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

? A curated list of papers & technical articles on AI Quality & Safety