decile-team / distil
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
☆142Updated last year
Related projects ⓘ
Alternatives and complementary repositories for distil
- An implementation of the BADGE batch active learning algorithm.☆197Updated 5 months ago
- Awesome Active Learning Paper List☆139Updated 6 months ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Reusable BatchBALD implementation☆74Updated 8 months ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆323Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆155Updated 10 months ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆82Updated 3 weeks ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆100Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆163Updated 4 months ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆65Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆288Updated last year
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆170Updated 6 months ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆230Updated 5 months ago
- ☆90Updated 3 years ago
- ☆103Updated last year
- 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
- Reliability diagrams visualize whether a classifier model needs calibration☆137Updated 2 years ago
- Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!☆68Updated 6 months ago
- Addressing Failure Prediction by Learning Model Confidence☆167Updated last year
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆53Updated last year
- Variational Adversarial Active Learning (ICCV 2019)☆225Updated last year
- Calibration of Convolutional Neural Networks☆158Updated last year
- ☆400Updated 3 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆65Updated last year
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 2 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆142Updated 2 years ago
- Code for coreset selection methods☆211Updated last year
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆347Updated 3 months ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆175Updated 4 months ago