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.☆208Updated last year
- Awesome Active Learning Paper List☆143Updated last year
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- NumPy library for calibration metrics☆73Updated last week
- 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…☆342Updated 2 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆104Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- ☆96Updated 4 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆366Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆97Updated 11 months ago
- 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
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆182Updated last year
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆243Updated last year
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆237Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆188Updated last year
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 3 years ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆316Updated last week
- ☆109Updated 2 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 3 years ago
- ☆139Updated last year
- ☆48Updated 11 months ago
- ☆421Updated 4 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 3 years ago