decile-team / distilLinks
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
☆154Updated 2 years ago
Alternatives and similar repositories for distil
Users that are interested in distil are comparing it to the libraries listed below
Sorting:
- An implementation of the BADGE batch active learning algorithm.☆210Updated last year
- Awesome Active Learning Paper List☆143Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years 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…☆343Updated 2 years ago
- ☆96Updated 4 years ago
- NumPy library for calibration metrics☆73Updated 2 months ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆369Updated last year
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 6 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- ☆109Updated 2 years ago
- ☆428Updated 4 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆195Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆330Updated 2 months ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆106Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 4 years ago
- Awesome coreset/core-set/subset/sample selection works.☆184Updated last year
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆183Updated last year
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆276Updated 7 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆89Updated 4 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆99Updated last year
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆237Updated 3 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆246Updated last year
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆145Updated 2 years ago