Data validation using Python type hints
- validation
- parsing
- json-schema
- pydantic
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Data validation using Python type hints
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
structured outputs for llms
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
A lightweight library for converting complex objects to and from simple Python datatypes.
An implementation of the JSON Schema specification for Python
A light-weight, flexible, and expressive statistical data testing library
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.
Python Toolkit for Causal and Probabilistic Reasoning
Lightweight, extensible data validation library for Python
A slick ORM cache with automatic granular event-driven invalidation.
CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.
A curated list of data mining papers about fraud detection.
A flexible forms validation and rendering library for Python.
A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
Hercules is the world’s first open-source testing agent, enabling UI, API, Security, Accessibility, and Visual validations – all without code or maintenance. Automate testing effortlessly and let Hercules handle the heavy lifting! ⚡
Verify that the PowerPoint you are about to deliver is exactly the PPTX that passed QA—locally, offline, and with tamper-evident evidence.
创业公司做 AI 产品的 7 步 Agent Skill 合集:验证 → BP → 政策 → 路演 → 获客 → 定价 → 注册。
Library for exploring and validating machine learning data
AI-first external attack surface assessment with continuous discovery, evidence-based vulnerability validation, and developer-agent MCP integration.
Data validation toolkit for assessing and monitoring data quality.
A serialization/deserialization/validation library for strings, mappings and lists.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.