ntucllab / libact
Pool-based active learning in Python
☆780Updated last year
Alternatives and similar repositories for libact:
Users that are interested in libact are comparing it to the libraries listed below
- ☆1,142Updated 2 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆880Updated 2 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 5 years ago
- A modular active learning framework for Python☆2,267Updated last year
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆957Updated 2 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆500Updated 3 years ago
- Metric learning algorithms in Python☆1,412Updated 7 months ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆237Updated 9 months ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆87Updated 2 years ago
- FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification☆147Updated 9 months ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆267Updated 6 years ago
- Active Learning Workshop Materials☆119Updated 6 years ago
- A scikit-learn based module for multi-label et. al. classification☆931Updated last year
- Bayesian active learning library for research and industrial usecases.☆891Updated 8 months ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 5 years ago
- Visualization for Sequential Neural Networks with Attention☆460Updated 2 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- ☆913Updated 2 years ago
- Simple structured learning framework for python☆665Updated 3 years ago
- Snorkel MeTaL: A framework for training models with multi-task weak supervision☆423Updated 5 years ago
- Convolutional Neural Networks for Sentence Classification in Keras☆594Updated 6 years ago
- Some language modeling tools for Keras☆657Updated 7 years ago
- scikit-learn compatible projects☆410Updated 2 years ago
- Adaptive Synthetic Sampling Approach for Imbalanced Learning☆130Updated last year
- Learning to Cluster. A deep clustering strategy.☆314Updated 5 years ago
- ☆712Updated last year
- ☆1,137Updated last year
- Web-based dashboard for Sacred☆549Updated 2 years ago
- ML-Ensemble – high performance ensemble learning☆852Updated last year