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Projects in Awesome Lists tagged with multiple-instance-learning

A curated list of projects in awesome lists tagged with multiple-instance-learning .

https://github.com/yuantn/MI-AOD

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

active-learning cvpr cvpr2021 mil multiple-instance-learning object-detection

Last synced: 20 Jul 2025

https://github.com/dolongbien/humanbehaviorbku

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

3d-convolutional-network abnormal-behavior-detection anomaly-detection c3d c3d-intel-caffe caffe deep-learning django-application human-activity-recognition human-behavior keras multiple-instance-learning ranking-loss road-accident-dataset road-accident-detection theano

Last synced: 07 May 2025

https://github.com/dolongbien/HumanBehaviorBKU

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

3d-convolutional-network abnormal-behavior-detection anomaly-detection c3d c3d-intel-caffe caffe deep-learning django-application human-activity-recognition human-behavior keras multiple-instance-learning ranking-loss road-accident-dataset road-accident-detection theano

Last synced: 06 Apr 2025

https://github.com/jafarinia/snuffy

Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images

deep-le deep-learning multiple-instance-learning self-supervised-learning sparse-transformer

Last synced: 07 May 2025

https://github.com/minzhang-whu/cdmi-net

The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping

attention-mechanism change-detection deep-learning landslide-mapping level-set-method multiple-instance-learning pytorch remote-sensing siamese-network unet

Last synced: 08 Oct 2025

https://github.com/giakoumoglou/classification

Classification of the MNIST dataset using various Deep Learning techniques

classification cnn contrastive-learning deep-learning mnist multiple-instance-learning pytorch simclr

Last synced: 14 Apr 2025

https://github.com/mskcc/mimsi

Microsatellite Instability Classification using Multiple Instance Learning

cancer-genomics deep-learning genomics machine-learning multiple-instance-learning

Last synced: 30 Apr 2025

https://github.com/skent259/mildsvm

Multiple Instance Learning with Distributions, SVM

distributional-data multiple-instance-learning ordinal r svm weakly-supervised-learning

Last synced: 14 Oct 2025

https://github.com/mafrs47/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

cnn computational-pathology convolutional-neural-networks decision-tree-classifier decision-trees deep-learning gradientboosting histopathology jupyter-notebook lung-cancer multiple-instance-learning scikit-learn svm xgboost

Last synced: 02 Mar 2026

https://github.com/jostmey/maxsnippetmodelovarian

Statistical classifier for diagnosing ovarian cancer from immune repertoires

cancer immune-repertoires machine-learning multiple-instance-learning t-cell-receptor

Last synced: 23 Jul 2025

https://github.com/inoueakimitsu/milwrap

Wrapping single instance learning algorithms for fitting them to data for multiple instance learning

large-data machine-learning multi-class-classification multiple-instance-learning python sklearn

Last synced: 07 May 2025

https://github.com/skent259/omisvm-sims

Simulation code for "Ordinal Multiple Instance Support Vector Machines"

multiple-instance-learning ordinal r reproducible-research simulation svm weakly-supervised-learning

Last synced: 26 Mar 2025

https://github.com/carlpecardal/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

algorithm-analysis classification computational-pathology data-analysis decision-tree-classifier gradientboosting histopathology keras logistic-regression lung-cancer multiple-instance-learning svm tissue-microarray-analysis xgboost

Last synced: 31 Mar 2025

https://github.com/jhdsr01/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

algorithm-analysis cancer-detection computational-pathology css gui-application knn logistic-regression lung-cancer medical-image-processing multiple-instance-learning navies-bayes-classifer softcomputing svm transfer-learning

Last synced: 27 Mar 2025

https://github.com/skent259/ordinal-mil-nnets

Experiments testing ordinal and multiple instance learning neural networks

multiple-instance-learning neural-network ordinal python reproducible-research simulation weakly-supervised-learning

Last synced: 22 Aug 2025