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Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.

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Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

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This repo contains codes and presentation for the implementation of a support vector machine with hinge loss function and stochastic gradient descent.

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A self-tuning anomaly detection system to address the challenges of method selection and hyper-parameter tuning without access to a sufficient number of human supplied, ground truth labels.

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Climate Analytics using Deep Neural Networks in Python.

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Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

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Deep learning-based outlier/anomaly detection

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The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

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A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

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