A system for quickly generating training data with weak supervision

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Synthetic data generators for tabular and time-series data

skweak: A software toolkit for weak supervision applied to NLP tasks

New and extensible file format for storage of large columnar datasets.

Computer vision based ML training data generation tool 🚀

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Pure Python, lightweight, Pillow-based solver for Amazon's text captcha.

Web application for image labeling and segmentation

🏖TagEditor - Annotation tool for spaCy

A lightweight web application for brushing labels onto time series data; useful for building training sets.

Augmenty is an augmentation library based on spaCy for augmenting texts.

Aubo i5 Dual Arm Collaborative Robot - RealSense D435 - 3D Object Pose Estimation - ROS

Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.

Natural Language Data Augmentation Tool for Conversational Systems

Generating training data from the Carla driving simulator in the KITTI dataset format

Collection of casual conversations that can be used with the Rasa Stack

SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 languages, generated using PaLM 2 and summarize-then-ask prompting.

Convert all files in git repository to .txt files. Useful for training LLMs on your codebase.