unsupervised-learning

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MLEveryday / 100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

python machine-learning tutorial deep-learning tensorflow keras jupyter-notebook supervised-learning unsupervised-learning chinese-simplified infographics 100-days-of-ml-code

Updated Apr 6, 2022
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afshinea / stanford-cs-229-machine-learning

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VIP cheatsheets for Stanford's CS 229 Machine Learning

data-science machine-learning deep-learning cheatsheet supervised-learning unsupervised-learning cs229 ml-cheatsheet

Updated May 20, 2020

jindongwang / transferlearning

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Updated Feb 18, 2025
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owainlewis / awesome-artificial-intelligence

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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

machine-learning reinforcement-learning ai deep-learning neural-network statistical-learning artificial-intelligence unsupervised-learning intelligent-systems machine-intelligence intelligent-machines

Updated Aug 12, 2025

yzhao062 / pyod

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A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

data-science machine-learning data-mining deep-learning time-series outlier-detection unsupervised-learning fraud-detection anomaly-detection multimodal outlier-ensembles novelty-detection out-of-distribution-detection time-series-anomaly-detection image-anomaly-detection foundation-models graph-anomaly-detection agentic-ai nlp-anomaly-detection

Updated Apr 14, 2026
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yzhao062 / anomaly-detection-resources

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Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

machine-learning data-mining awesome awesome-list outlier-detection unsupervised-learning fraud-detection time-series-analysis vlm anomaly-detection fraud outlier outlier-ensembles graph-neural-networks large-language-models llm vlms

Updated Mar 2, 2026
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greyhatguy007 / Machine-Learning-Specialization-Coursera

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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

python machine-learning deep-learning neural-network solutions mooc tensorflow linear-regression coursera recommendation-system logistic-regression decision-trees unsupervised-learning andrew-ng supervised-machine-learning unsupervised-machine-learning coursera-assignment coursera-specialization andrew-ng-machine-learning

Updated Dec 28, 2025
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open-edge-platform / anomalib

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An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

unsupervised-learning anomaly-detection neural-network-compression openvino anomaly-segmentation anomaly-localization geti