damienlancry / DBALLinks
Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)
☆26Updated 6 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
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆231Updated 6 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated last year
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆346Updated 5 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- Adversarial Active Learning for Deep Networks☆14Updated 6 years ago
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆24Updated 6 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275Updated 7 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- ☆40Updated 5 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- ☆238Updated 5 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆367Updated 3 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- ☆415Updated 3 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 4 years ago
- Deep Active Learning☆837Updated 2 years ago
- Calibration of Convolutional Neural Networks☆166Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- Awesome Active Learning Paper List☆142Updated last year
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆234Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆563Updated 3 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆507Updated 3 years ago