avnitjnkol

avnitjnkol

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ALIL

Code for ACL2018 paper "Learn How to Actively Learn: An Imitation Learning Approach"

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MUSE

A library for Multilingual Unsupervised or Supervised word Embeddings

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PAL

Policy based Active Learning with DQN (EMNLP-2017)

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PAL

Policy based Active Learning with DQN

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PAL

Policy based Active Learning with DQN

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ssl_detection

Semi-supervised learning for object detection

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Active_Learning_CNNs

Active Learning with approximations of Bayesian Convolutional Neural Networks.

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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-Bayesian-Active-Learning/))

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deep-active-learning

Deep Active Learning

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active-learning

Active learning for deep learning

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DiscriminativeActiveLearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

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Active-Learning-Bayesian-Convolutional-Neural-Networks

Active Learning on Image Data using Bayesian ConvNets

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active_learning

Active Learning Applied to image and tabular data

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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Deep-Bayesian-Active-Learning

Code for Deep Bayesian Active Learning (ICML 2017)

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pytorch-practice

Some example scripts on pytorch

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Learning-Loss-for-Active-Learning-Pytorch

Learning Loss for Active Learning Pytorch Implementation,(reproduction)

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pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

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ActiveLearningFrameworkTutorial

An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

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cifar10keras

CIFAR-10 IMAGE CLASSIFICATION WITH KERAS CONVOLUTIONAL NEURAL NETWORK TUTORIAL

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CEAL_keras

Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper

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active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

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