This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
☆89May 17, 2022Updated 3 years ago
Alternatives and similar repositories for LAL
Users that are interested in LAL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆1,162Dec 5, 2022Updated 3 years ago
- Active Learning using Multi Label Image Dataset☆14Feb 20, 2019Updated 7 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
- Active Learning☆56Jun 6, 2015Updated 10 years ago
- Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015☆16Oct 12, 2016Updated 9 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.
- This is a new version of Learning Active Learning which uses reinforcement learning☆13May 17, 2022Updated 3 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- Active Learning Workshop Materials☆121Mar 15, 2019Updated 7 years ago
- An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy da…☆55May 3, 2019Updated 6 years ago
- Active learning for deep learning☆19Oct 5, 2018Updated 7 years ago
- Pool-based active learning in Python☆792Apr 8, 2026Updated 3 weeks ago
- ☆12Nov 28, 2015Updated 10 years ago
- Deep Active Learning☆850Oct 3, 2022Updated 3 years ago
- Deep Reinforcement Active learning - Master Thesis☆19Dec 7, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Public experimental example code for the ProPublic recidivism data-based experiments for the upcoming Interpretable Active Learning Paper☆10Dec 18, 2017Updated 8 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Nov 2, 2016Updated 9 years ago
- Code to implement SIMILE algorithm from the paper entitled "Smooth Imitation Learning for Online Sequence Prediction" from ICML 2016☆13May 25, 2016Updated 9 years ago
- Tensorflow implementation of "EGL-word" method in AAAI 2017 paper "Active Discriminative Text Representation Learning"☆23Nov 28, 2017Updated 8 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Mar 26, 2018Updated 8 years ago
- Deep Neural Networks Based Approaches for Graph Embeddings☆26Oct 18, 2017Updated 8 years ago
- Repo for the EACL2017 tutorial on imitation learning☆28Apr 3, 2017Updated 9 years ago
- Embeddings for all geonames populated locations with population greater than 0☆13May 15, 2017Updated 8 years ago
- Publication in Nature Scientific Reports: Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with S…☆22Dec 12, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- In this work we present a task-agnostic Multimodal Variational Aversarial Active Learning (M-VAAL) for sampling the most informative samp…☆11Jun 23, 2023Updated 2 years ago
- [CIKM-21] Pytorch implementation of LiteGT: Efficient and Lightweight Graph Transformers☆12Nov 16, 2021Updated 4 years ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- ☆10Jul 2, 2020Updated 5 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆12Dec 1, 2018Updated 7 years ago
- ☆12Jan 18, 2024Updated 2 years ago
- JCLAL is a general purpose framework developed in Java for Active Learning.☆23Jul 24, 2017Updated 8 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆900Jul 23, 2025Updated 9 months ago
- A modular active learning framework for Python☆2,346Feb 26, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- NRPSpredictor2 is a program to predict the specificity of bacterial and fungal adenylation domains.☆11Oct 7, 2019Updated 6 years ago
- Coding exercise to extend tensorflow for imagenet to active learning, for use in a job interview or similar.☆28Aug 30, 2017Updated 8 years ago
- Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Netwo…☆20Feb 1, 2018Updated 8 years ago
- This code realizes the construction of cokriging model, which is used for the structural size design of solder joints. The input is the r…☆11Aug 11, 2023Updated 2 years ago
- The pytorch implementation of IRGAN☆17Oct 17, 2018Updated 7 years ago
- Awesome Active Learning Paper List☆148Apr 23, 2024Updated 2 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago