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.
skweak: A software toolkit for weak supervision applied to NLP tasks
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.
Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
Augmenty is an augmentation library based on spaCy for augmenting texts.
Natural Language Data Augmentation Tool for Conversational Systems
Generating training data from the Carla driving simulator in the KITTI dataset format
AgentHER: Hindsight Experience Replay for LLM Agents
Collection of casual conversations that can be used with the Rasa Stack
Convert all files in git repository to .txt files. Useful for training LLMs on your codebase.
COVID-19 Coughs files for training AI models
Full resources supporting the publication "A Pragmatic Guide to Geoparsing Evaluation."
Training-data license and provenance gate: resolve SPDX obligations, check compatibility against a declared purpose, and gate corpus ingestion.
🔎 Classification helper for sex classification feature of InstaPy
Benchmarking tools for applying AI/ML to data assimilation
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Bitcoin Hourly OHLCV with 70+ Technical Indicators | Daily Updated Dataset for ML & Trading Analysis
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