snorkel-team/snorkel

Adala: Autonomous DAta (Labeling) Agent framework

Scalable data pre processing and curation toolkit for LLMs

Synthetic data curation for post-training and structured data extraction

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

An agentic Machine Learning Engineer

Images to inference with no labeling (use foundation models to train supervised models).