google / active-learningLinks
☆1,157Updated 2 years ago
Alternatives and similar repositories for active-learning
Users that are interested in active-learning are comparing it to the libraries listed below
Sorting:
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆962Updated 2 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆883Updated 2 years ago
- Deep Active Learning☆837Updated 2 years ago
- A modular active learning framework for Python☆2,292Updated last year
- Pool-based active learning in Python☆788Updated 2 months ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- Bayesian active learning library for research and industrial usecases.☆900Updated 11 months ago
- A curated list of awesome Active Learning☆768Updated 8 months ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated last year
- A simple way to calibrate your neural network.☆1,150Updated 3 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆181Updated last year
- Everything you need about Active Learning (AL).☆902Updated last year
- ☆1,139Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year
- Unsupervised Data Augmentation (UDA)☆2,192Updated 3 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- Metric learning algorithms in Python☆1,423Updated 10 months ago
- Variational Adversarial Active Learning (ICCV 2019)☆230Updated last year
- A simple and effective method for detecting out-of-distribution images in neural networks.☆536Updated 3 years ago
- Awesome Active Learning Paper List☆141Updated last year
- Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks☆323Updated 2 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆562Updated 3 years ago
- A dataset of datasets for learning to learn from few examples☆785Updated last year
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆506Updated 3 years ago
- Active Learning Workshop Materials☆121Updated 6 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆629Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆152Updated 2 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 4 years ago
- torchbearer: A model fitting library for PyTorch☆640Updated last year