Shypd.aiThe largest open index of AI toolsDeep-active-learning is an open-source Python library that implements various active learning algorithms. It helps researchers and developers improve model performance with reduced data labeling effort by providing methods like Random Sampling and Uncertainty Sampling.
Trending
Also listed in
About
Deep-active-learning is an open-source Python library designed for implementing and experimenting with various active learning algorithms. It provides a collection of methods such as Random Sampling, Least Confidence, Margin Sampling, Entropy Sampling, Uncertainty Sampling with Dropout Estimation, Bayesian Active Learning Disagreement, Cluster-Based Selection, and Adversarial Margin. This library is particularly useful for researchers and developers in the field of machine learning who aim to reduce the amount of labeled data required for training models while maintaining or improving performance. The repository includes prerequisites and a demo script for easy setup and experimentation, making it a practical tool for exploring active learning strategies.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
