DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
☆156Feb 5, 2023Updated 3 years ago
Alternatives and similar repositories for distil
Users that are interested in distil are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your mode…☆20Nov 17, 2023Updated 2 years ago
- Summarize Massive Datasets using Submodular Optimization☆129May 14, 2025Updated last year
- An implementation of the BADGE batch active learning algorithm.☆217Jun 5, 2024Updated 2 years ago
- PyTorch examples powered by Lightning☆11Dec 28, 2022Updated 3 years ago
- [ECCV 2022] "TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information" by…☆10Sep 21, 2022Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆185May 6, 2024Updated 2 years ago
- A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, Ad…☆54Feb 26, 2022Updated 4 years ago
- A curated list of awesome Active Learning☆802Mar 26, 2026Updated 3 months ago
- Deep Active Learning☆851Oct 3, 2022Updated 3 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆89Nov 27, 2022Updated 3 years ago
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆40Sep 14, 2022Updated 3 years ago
- Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively …☆129May 24, 2022Updated 4 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆37Aug 3, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Reusable BatchBALD implementation☆77Feb 28, 2024Updated 2 years ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆14Mar 20, 2021Updated 5 years ago
- Code for the paper "Sampling Bias in Deep Active Classification: An Empirical Study"☆16Jun 17, 2024Updated 2 years ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79May 4, 2024Updated 2 years ago
- ☆51Nov 11, 2024Updated last year
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆994Dec 8, 2022Updated 3 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆904Jul 23, 2025Updated 11 months ago
- Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and …☆13Apr 19, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- CSS-LM: Contrastive Semi-supervised Fine-tuning of Pre-trained Language Models☆12Jul 1, 2023Updated 3 years ago
- A modular active learning framework for Python☆2,356Feb 26, 2024Updated 2 years ago
- [NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation☆33Apr 26, 2024Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆27May 22, 2025Updated last year
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Oct 5, 2021Updated 4 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆250Apr 13, 2026Updated 2 months ago
- Test pytorch code with minimal computational overhead☆26Jun 8, 2023Updated 3 years ago
- Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for …☆57Feb 22, 2022Updated 4 years ago
- (IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks☆21Nov 22, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A PyTorch toolbox for domain adaptation, domain generalization, federated learning DA/DG, active learning DA/DG, ALDG and semi-supervised…☆11Jan 10, 2022Updated 4 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆107Oct 22, 2024Updated last year
- Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)☆25Mar 12, 2022Updated 4 years ago
- ☆11Dec 20, 2020Updated 5 years ago
- Templates for commonly used GitHub actions steps☆13Dec 13, 2024Updated last year
- Active learning☆78Feb 8, 2023Updated 3 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Sep 26, 2019Updated 6 years ago