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Production visual anomaly detection from normal images with PaDiM, ultra-light PatchCore, Production Autopilot, ONNX, OpenVINO, and TensorRT INT8 export.
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Sep 1, 2026 - Jupyter Notebook
Training-free deep learning for unsupervised industrial defect detection & localization on MVTec AD, PatchCore & PaDiM, with image and pixel level AUROC and a one-click free-Colab demo.
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Jul 5, 2026 - Python
兼容 Anomalib 生态的通用异常检测推理库:一张图进去,缺陷 mask + 分数 + OK/NG 出来,一个 DLL + 一个头文件,零 OpenCV 依赖。
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Aug 24, 2026 - C++
Governed, reproducible visual-inspection runtime using PaDiM, ONNX Runtime, deterministic replay, and hash-anchored evidence.
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Jul 11, 2026 - Python
detect and segment anomalies on wood surfaces using unsupervised deep learning models
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May 21, 2025 - Python
Mahalanobis scoring stage of PaDiM anomaly detection, implemented four ways - PyTorch, C++17 CPU, hand-written CUDA (naive + PBCR), cuBLAS - behind a fixed artifact boundary, with a 1e-4 numerical agreement gate on every reported timing.
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Jul 24, 2026 - Python
Anomaly detection pipeline for industrial surface inspection using the MVTec AD dataset. Includes classical computer vision baselines, autoencoder models, and PaDiM-based feature embeddings for detecting subtle manufacturing defects.
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Nov 23, 2025
A PyTorch-based framework for unsupervised anomaly detection on the MVTec AD dataset. Implements PaDiM, PatchCore, FastFlow, and AutoEncoder models with utilities for dataset preparation, training, evaluation, and reporting.
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Apr 25, 2026 - Python
PaDiM-inspired anomaly detection for AWS infrastructure metrics (CloudWatch + Cost Explorer)
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May 1, 2026 - Python
Anomaly Detection with Localization developed for the Machine Learning for Vision and Multimedia course @polito. Tech stack: PyTorch, Python.
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Jan 28, 2026 - Jupyter Notebook
Evidence-first industrial visual anomaly detection and pixel localization across all 15 MVTec AD categories.
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Aug 11, 2026 - Python
C++ real-time anomaly detection: motion + scene-change + PaDiM, ROI-aware, severity-laddered alerts, TensorRT for the edge
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Aug 6, 2026 - C++
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