instance-based-learning

Here are 7 public repositories matching this topic...

antoinehabis / Deep-ContourFlow

Unsupervised, one-shot, instance-based active contour/snake using deep learning features in python.

python machine-learning deep-learning unsupervised torch snake one-shot-learning unsupervised-learning active-contour foreground-extraction foreground-segmentation background-removal instance-based-learning

Updated Aug 9, 2025
Python

thieu1995 / PyLWL

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An Open-Source Python framework for Locally Weighted Regression and Classification, built on PyTorch and Scikit-Learn

machine-learning nonparametric-model locally-weighted-regression weighted-loss instance-based-learning adaptive-models locally-weighted-classification distance-based-learning local-approximation bias-free-models sample-weighted-optimization gradient-based-locally-weighted locally-weighted-learning

Updated Jun 5, 2025
Python

Rarex224 / ML-network-intrusion-detection-HAWK

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AI-Powered Network Attack Classifier

iot machine-learning ai exploit analysis deeplearning linear-models error-reporting reconnaissance pearson-correlation accuracy-score dos-attack fuzzers backdoor-attacks one-hot-encoding probabilistic-machine-learning instance-based-learning

Updated Feb 27, 2026
Jupyter Notebook

AlfredoAcosta / MSL_Recognition_KNN

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Mexican Sign Language Recognition using a Instanced-Based algorith (K-nearest-neighbords)

knn instance-based-learning

Updated Feb 12, 2021
Python

rohitb281 / knn-classification-model

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Train the model, then predict and evaluate it using K Nearest Neighbors (KNN) using a classified data set

machine-learning scikit-learn python3 supervised-learning classification knn hyperparameter-tuning feature-scaling model-evaluation k-nearest-neighbors instance-based-learning distance-based-learning

Updated Feb 5, 2026
Jupyter Notebook

jmm34 / computo-local-tree-methods-for-classification

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Material associated to the publication project on local trees methods for classification

machine-learning classification-trees random-forests instance-based-learning

Updated Feb 4, 2024
R

1410ailesi / ML-network-intrusion-detection-HAWK

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Detect network threats in IoT environments using optimized machine learning and deep learning with the UNSW-NB15 dataset.

iot machine-learning ai exploit analysis linear-models error-reporting reconnaissance pearson-correlation accuracy-score dos-attack fuzzers backdoor-attacks one-hot-encoding probabilistic-machine-learning instance-based-learning

Updated Apr 7, 2026
Jupyter Notebook

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instance-based-learning

Here are 7 public repositories matching this topic...

antoinehabis / Deep-ContourFlow

thieu1995 / PyLWL

Rarex224 / ML-network-intrusion-detection-HAWK

AlfredoAcosta / MSL_Recognition_KNN

rohitb281 / knn-classification-model

jmm34 / computo-local-tree-methods-for-classification

1410ailesi / ML-network-intrusion-detection-HAWK

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