Alternatives and similar repositories for ActiveLearningFrameworkTutorial

Users that are interested in ActiveLearningFrameworkTutorial are comparing it to the libraries listed below

• Azure / active-learning-workshop
  Active Learning Workshop Materials
  ☆121Updated 6 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆88Updated 3 years ago
• fahadm / Bayesian-Active-Learning-Pytorch
  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
• suraj-deshmukh / Active-Learning
  Active Learning using Multi Label Image Dataset
  ☆14Updated 6 years ago
• BlackHC / BatchBALD
  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
  ☆241Updated last year
• dhaalves / CEAL_keras
  Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper
  ☆35Updated 6 years ago
• javaidnabi31 / Multi-class-with-imbalanced-dataset-classification
  Multi-class with imbalanced dataset classification
  ☆84Updated 6 years ago
• dsgissin / DiscriminativeActiveLearning
  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
• ozansener / active_learning_coreset
  Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
  ☆272Updated 6 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆138Updated 8 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 years ago
• google / TrustScore
  To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…
  ☆175Updated 2 years ago
• shibuiwilliam / ActiveSemiSupervisedDeepLearning
  Comparing active learning, semi-supervised learning and combination of them on deep learning.
  ☆14Updated 7 years ago
• davefernig / alp
  active learning in python
  ☆35Updated 8 years ago
• neuropoly / deep-active-learning
  Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)
  ☆38Updated 6 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆73Updated 2 years ago
• houxingxing / Multi-Criteria-Active-Deep-Learning-for-Image-Classification
  Multi-Criteria Active Deep Learning for Image Classification
  ☆10Updated 6 years ago
• yongjin-shin / awesome-active-learning
  Awesome Active Learning Paper List
  ☆141Updated last year
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 4 years ago
• ashafaei / out-of-distribution-detection
  The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
  ☆118Updated 5 years ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆238Updated 3 years ago
• tgsmith61591 / smrt
  Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
  ☆126Updated 5 years ago
• decile-team / distil
  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
  ☆152Updated 2 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• feifeife / All-about-XAI
  This repository is all about papers and tools of Explainable AI
  ☆36Updated 5 years ago
• Hsankesara / Prototypical-Networks
  A novel method for few shot learning
  ☆52Updated 5 years ago
• Trotts / Siamese-Neural-Network-MNIST-Triplet-Loss
  An example notebook showing the use of a Siamese Neural Network with a triplet loss function trained on MNIST
  ☆19Updated 4 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• markus93 / NN_calibration
  Calibration of Convolutional Neural Networks
  ☆166Updated 2 years ago