damienlancry / DBALLinks
Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)
☆26Updated 5 years ago
Alternatives and similar repositories for DBAL
Users that are interested in DBAL are comparing it to the libraries listed below
Sorting:
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- An implementation of the BADGE batch active learning algorithm.☆205Updated last year
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 4 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆24Updated 6 years ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆230Updated last year
- ☆40Updated 5 years ago
- Awesome Active Learning Paper List☆141Updated last year
- Reusable BatchBALD implementation☆78Updated last year
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆230Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆240Updated last year
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Adversarial Active Learning for Deep Networks☆14Updated 6 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆181Updated 5 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆87Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Active Learning on Image Data using Bayesian ConvNets☆138Updated 8 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆87Updated 3 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆138Updated 7 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 4 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper☆35Updated 6 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆150Updated 3 years ago