wanglingzhu

deepALplus

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

Class-Balanced-AL

jvm

🤗 JVM 底层原理最全知识总结

JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

CSVAL

[MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"

Sequential-GCN-for-Active-Learning

awesome-active-learning

A curated list of awesome Active Learning

small-text

Active Learning for Text Classification in Python

RIPU

[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

Learning-Loss-for-Active-Learning

An unofficial PyTorch implementation of "Learning Loss for Active Learning"

PythonAiRoad

source code of some articles

PT4AL

Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"

AhabCode

方便大家学习将公众号中所有案例的代码进行汇总

alpha_mix_active_learning

The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

AER

scalable active learning by approximated error reduction

pytorch_active_learning

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

active-learning

active_learning_coreset

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

Learning-Loss-for-Active-Learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow