Online-compatible Unsupervised Non-resonant Anomaly Detection Repository

Last update: Nov 09, 2021

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Overview

Online-compatible Unsupervised Non-resonant Anomaly Detection Repository

Repository containing all scripts used in the studies of Online-compatible Unsupervised Non-resonant Anomaly Detection model.

To train your own model, first Download the official dataset from zenodo and use the example code to prepare the datasets. To run the training, use:

python AE40Mhz.py [--single/--double/--supervised/--all] [--load] --out NAME

To train a single AE, the double + decorrelatied method, supervisedd, or all of them respectively. Trained model weights are also providedd in the weights folder that can be loaded using the --load flag.

The output of the script will create an NAME.h5 file in the base directory. Use this file to plot the results using the script plot.py

python plot.py --file NAME.h5

Different plot options are available in the script.

Owner

GitHub Repository

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Online-compatible Unsupervised Non-resonant Anomaly Detection Repository

Related tags

Overview

Online-compatible Unsupervised Non-resonant Anomaly Detection Repository

Owner

Code for the paper: Sketch Your Own GAN

Simple STAC Catalogs discovery tool.

Using pretrained language models for biomedical knowledge graph completion.

offical implement of our Lifelong Person Re-Identification via Adaptive Knowledge Accumulation in CVPR2021

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21

Code repo for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper.

This repository provides a basic implementation of our GCPR 2021 paper "Learning Conditional Invariance through Cycle Consistency"

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity

Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"

An open-source Deep Learning Engine for Healthcare that aims to treat & prevent major diseases

Official repository for "PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation"

Source code for 2021 ICCV paper "In-the-Wild Single Camera 3D Reconstruction Through Moving Water Surfaces"

MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images

Image segmentation with private İstanbul Dataset

A Distributional Approach To Controlled Text Generation

Contour-guided image completion with perceptual grouping (BMVC 2021 publication)

Implementation of the master's thesis "Temporal copying and local hallucination for video inpainting".

Code and data of the ACL 2021 paper: Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision

IGCN : Image-to-graph convolutional network