Freedom251 › Active Learning Tools
ALToolbox
Facts from ALToolbox's own pages
- Annotation interface
- It provides a serverless GUI annotation tool integrated into Jupyter. · github.com, 14 Nov 2026
- Data reusability
- It includes a PLASM postprocessing pipeline for annotated-data reusability. · github.com, 14 Nov 2026
- Datasets
- Custom datasets can be loaded from Hugging Face datasets or repository data files. · github.com, 14 Nov 2026
- Installation
- The README instructs installation with pip install acleto. · github.com, 14 Nov 2026
- Jupyter setup
- The annotation widget requires additional installation steps for Jupyter Notebook or JupyterLab. · github.com, 14 Nov 2026
- License
- The project is licensed under the MIT License. · github.com, 14 Nov 2026
- Model compatibility
- The repository supports Hugging Face Transformers models for sequence and token classification. · github.com, 14 Nov 2026
- Model distillation
- It includes acquisition-model distillation and domain adaptation tools. · github.com, 14 Nov 2026
- Purpose
- ALToolbox is a framework for active-learning annotation in natural language processing. · github.com, 14 Nov 2026
- Query strategies
- It includes strategies such as ALPS, BADGE, BAIT, BALD, BatchBALD, and Entropy. · github.com, 14 Nov 2026
- Research audience
- The publication describes the framework as intended to support data scientists and researchers. · github.com, 14 Nov 2026
- Supported tasks
- It supports text classification and sequence tagging tasks. · github.com, 14 Nov 2026
- Testing
- Tests default to CUDA when available and otherwise use CPU; CPU is recommended for robust results. · github.com, 14 Nov 2026
Where ALToolbox stands on Freedom251
- Active Learning Tools#13 of 16