[NeurIPS 2025] Pytorch Implementation for NeurIPS 2025 paper: ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
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Nov 11, 2025 - Python
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industrial-anomaly-detection
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EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO
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Jan 24, 2026 - Python
This repo contains state-of-the-art deep learning models for industrial anomaly detection, defect segmentation, detection, and classification, with other industrial machine vision applications.
machine-learning deep-learning semi-supervised-learning image-classification segmentation machine-vision weakly-supervised-learning anomaly-detection intelligent-manufacturing defect-segmentation intelligent-inspection industrial-anomaly-detection intelligent-machine-vision-systems intelligent-manufacturing-and-automation
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Feb 19, 2025
This is an official Pytorch implementation of the paper "Lightweight Masked Reconstruction for Real-Time Sensor-Driven Anomaly Detection in Industrial IoT".
deep-neural-networks pytorch iot-application efficientnet industrial-anomaly-detection blade-detection
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Dec 3, 2025 - Python
A focused fork of an anomaly detection library, dedicated to enhancing and extending the PatchCore model.
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Dec 23, 2025 - Python
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