orico / ActiveLearningFrameworkTutorial
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
☆55Updated 6 years ago
Alternatives and similar repositories for ActiveLearningFrameworkTutorial
Users that are interested in ActiveLearningFrameworkTutorial are comparing it to the libraries listed below
Sorting:
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years 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
- Active Learning using Multi Label Image Dataset☆14Updated 6 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 3 years ago
- Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper☆35Updated 6 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated 11 months ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆87Updated 2 years ago
- Active Learning on Image Data using Bayesian ConvNets☆138Updated 8 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 4 years ago
- Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)☆26Updated 5 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 5 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆238Updated 3 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 4 years ago
- active learning in python☆35Updated 8 years ago
- Code for "Active One-shot Learning"☆33Updated 6 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆962Updated 2 years ago
- Multi-class with imbalanced dataset classification☆84Updated 5 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆271Updated 6 years ago
- Library of transfer learners and domain-adaptive classifiers.☆91Updated 6 years ago
- A novel method for few shot learning☆52Updated 5 years ago
- Awesome Active Learning Paper List☆141Updated last year
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- model uncertainty using mc dropout☆20Updated 6 years ago
- An example notebook showing the use of a Siamese Neural Network with a triplet loss function trained on MNIST☆19Updated 4 years ago
- Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper☆17Updated 5 years ago
- ☆14Updated 6 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆101Updated 4 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆230Updated last year
- ☆1,152Updated 2 years ago