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Baal Documentation
GitHub
Home
User Guide
User Guide
Cheat Sheet
Active learning infrastructure objects
Speeding up Monte-Carlo Inference With MCCachingModule
Computing uncertainty
Computing uncertainty
Methods for approximating bayesian posteriors
Heuristics
API
API
Bayesian deep learning
Calibration Wrapper
Active learning functionality
Heuristics
ModelWrapper
Utilities
Compatibility
Compatibility
Huggingface
Pytorch lightning
Tutorials
Tutorials
Label Studio
Label Studio
Image Classification
Text Classification
Compatibility
Compatibility
HuggingFace: Active Learning for NLP Classification
Scikit-Learn: Active learning with Random Forest
Production use cases
Production use cases
Use Baal in production (Image classification)
Use Baal in production (Text classification)
How to do research and visualize progress
How to use Deep ensembles in Baal
Research
Research
Technical Reports
Technical Reports
Active Fairness
Report on using Dirichlet calibration for active learning
Report on the case of double descent in active learning
Literature
Literature
Additional papers
Additional papers
Dmi
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
Gaussian YOLOV3
Scalable k-Means Clustering via Lightweight Coresets
Bayesian Batch Active Learning as Sparse Subset Approximation
Variational adversarial Active Learning (VAAL)
Support
Support
Baal FAQ
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