Search Results for "labeling"
Sort By:
Showing 4 open source projects for "labeling"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Labeler
Label manager for PRs and Issues based on configurable conditions
An advanced, all-in-one GitHub Action enabling dynamic labeling of both issues and PRs based on a variety of configurable rules—covering metadata like age, author, branch, file changes, draft status, and more. A flexible tool for automating repository hygiene. -
2
beCPG PLM (Product Lifecycle Management)
New Product Development, Projects and Quality management
...In a few words, beCPG offers the following features: - Product repository to manage finished products, recipes, raw materials and packaging with their technical and regulatory data - Formulation to calculate automatically allergens, ingredients, nutrient facts, costs, labeling, ... - Product specification generator for clients, R&D and production - Project management to manage new product development from ideas until market launch - Customer complaints -
3
Pull Request Labeler Action
Github action to label your pull requests auto-magically
A GitHub Action that auto-applies labels to pull requests based on changes in committed files. Configurable via regex-to-label mappings, it streamlines PR categorization but is now archived. -
4
phpDesktop is a light-weight, multi-user organizer, including interconnected modules for scheduling, task management, contact management, and file storage; targeted towards ease of use, associative labeling, and support for full meta-commenting.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
- Previous
- You're on page 1
- Next
