DeepAL: Deep Active Learning in Python

Overview

DeepAL: Deep Active Learning in Python

Python implementations of the following active learning algorithms:

  • Random Sampling
  • Least Confidence [1]
  • Margin Sampling [2]
  • Entropy Sampling [3]
  • Uncertainty Sampling with Dropout Estimation [4]
  • Bayesian Active Learning Disagreement [4]
  • Core-Set Selection [5]
  • Adversarial margin [6]

Prerequisites

  • numpy 1.21.2
  • scipy 1.7.1
  • pytorch 1.10.0
  • torchvision 0.11.1
  • scikit-learn 1.0.1
  • tqdm 4.62.3
  • ipdb 0.13.9

You can also use the following command to install conda environment

conda env create -f environment.yml

Demo

  python demo.py \
      --n_round 10 \
      --n_query 1000 \
      --n_init_labeled 10000 \
      --dataset_name MNIST \
      --strategy_name RandomSampling \
      --seed 1

Please refer here for more details.

Citing

If you use our code in your research or applications, please consider citing our paper.

@article{Huang2021deepal,
    author    = {Kuan-Hao Huang},
    title     = {DeepAL: Deep Active Learning in Python},
    journal   = {arXiv preprint arXiv:2111.15258},
    year      = {2021},
}

Reference

[1] A Sequential Algorithm for Training Text Classifiers, SIGIR, 1994

[2] Active Hidden Markov Models for Information Extraction, IDA, 2001

[3] Active learning literature survey. University of Wisconsin-Madison Department of Computer Sciences, 2009

[4] Deep Bayesian Active Learning with Image Data, ICML, 2017

[5] Active Learning for Convolutional Neural Networks: A Core-Set Approach, ICLR, 2018

[6] Adversarial Active Learning for Deep Networks: a Margin Based Approach, arXiv, 2018

Owner
Kuan-Hao Huang
Kuan-Hao Huang
Supercharging Imbalanced Data Learning WithCausal Representation Transfer

ECRT: Energy-based Causal Representation Transfer Code for Supercharging Imbalanced Data Learning With Energy-basedContrastive Representation Transfer

Zidi Xiu 11 May 02, 2022
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd

Rydin 28 Dec 10, 2022
YuNetのPythonでのONNX、TensorFlow-Lite推論サンプル

YuNet-ONNX-TFLite-Sample YuNetのPythonでのONNX、TensorFlow-Lite推論サンプルです。 TensorFlow-LiteモデルはPINTO0309/PINTO_model_zoo/144_YuNetのものを使用しています。 Requirement Op

KazuhitoTakahashi 8 Nov 17, 2021
Powerful and efficient Computer Vision Annotation Tool (CVAT)

Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our

OpenVINO Toolkit 8.6k Jan 01, 2023
Hierarchical Uniform Manifold Approximation and Projection

HUMAP Hierarchical Manifold Approximation and Projection (HUMAP) is a technique based on UMAP for hierarchical non-linear dimensionality reduction. HU

Wilson Estécio Marcílio Júnior 160 Jan 06, 2023
This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transformer"

FlatTN This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transfor

THUHCSI 74 Nov 28, 2022
ImageNet Adversarial Image Evaluation

ImageNet Adversarial Image Evaluation This repository contains the code and some materials used in the experimental work presented in the following pa

Utku Ozbulak 11 Dec 26, 2022
An open source app to help calm you down when needed.

By: Seanpm2001, Et; Al. Top README.md Read this article in a different language Sorted by: A-Z Sorting options unavailable ( af Afrikaans Afrikaans |

Sean P. Myrick V19.1.7.2 2 Oct 24, 2022
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage

AI4Finance Foundation 2.5k Jan 05, 2023
Simple Baselines for Human Pose Estimation and Tracking

Simple Baselines for Human Pose Estimation and Tracking News Our new work High-Resolution Representations for Labeling Pixels and Regions is available

Microsoft 2.7k Jan 05, 2023
Gif-caption - A straightforward GIF Captioner written in Python

Broksy's GIF Captioner Have you ever wanted to easily caption a GIF without havi

3 Apr 09, 2022
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image

Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image (Project page) Zhengqin Li, Mohammad Sha

209 Jan 05, 2023
Datasets, tools, and benchmarks for representation learning of code.

The CodeSearchNet challenge has been concluded We would like to thank all participants for their submissions and we hope that this challenge provided

GitHub 1.8k Dec 25, 2022
The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach

The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach

ycj_project 1 Jan 18, 2022
The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks

Decoupled Dynamic Filter Networks This repo is the official implementation of CVPR2021 paper: "Decoupled Dynamic Filter Networks". Introduction DDF is

F.S.Fire 180 Dec 30, 2022
Dahua Camera and Doorbell Home Assistant Integration

Home Assistant Dahua Integration The Dahua Home Assistant integration allows you to integrate your Dahua cameras and doorbells in Home Assistant. It's

Ronnie 216 Dec 26, 2022
PyoMyo - Python Opensource Myo library

PyoMyo Python module for the Thalmic Labs Myo armband. Cross platform and multithreaded and works without the Myo SDK. pip install pyomyo Documentati

PerlinWarp 81 Jan 08, 2023
Cobalt Strike teamserver detection.

Cobalt-Strike-det Cobalt Strike teamserver detection. usage: cobaltstrike_verify.py [-l TARGETS] [-t THREADS] optional arguments: -h, --help show this

TimWhite 17 Sep 27, 2022
TJU Deep Learning & Neural Network

Deep_Learning & Neural_Network_Lab 实验环境 Python 3.9 Anaconda3(官网下载或清华镜像都行) PyTorch 1.10.1(安装代码如下) conda install pytorch torchvision torchaudio cudatool

St3ve Lee 1 Jan 19, 2022
ProjectOxford-ClientSDK - This repo has moved :house: Visit our website for the latest SDKs & Samples

This project has moved 🏠 We heard your feedback! This repo has been deprecated and each project has moved to a new home in a repo scoped by API and p

Microsoft 970 Nov 28, 2022