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anomaly-detection

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SheldonXLD
SheldonXLD commented Dec 30, 2021

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is.

to_csv is slow and cost lot storage

Describe the solution you'd like
A clear and concise description of what you want to happen, ideally taking into consideration the existing toolbox design, classes and methods.

use to_feather to make it more efficient and sm

enhancement good first issue

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

  • Updated Jun 14, 2021
  • Jupyter Notebook
flow-forecast
isaacmg
isaacmg commented May 14, 2021

We have a lot of antiquated docstrings that don't render well into ReadTheDocs. A kind of grunge (but incredibly useful) task would be to refactor these docstrings into proper ReadTheDocs format. This would allow us to render them effectively...

documentation help wanted good first issue

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

  • Updated Apr 23, 2020
  • Jupyter Notebook

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

  • Updated Feb 10, 2022
  • Python
ashwinvaidya17
ashwinvaidya17 commented Feb 2, 2022

PR openvinotoolkit/anomalib#70 does not add GANomaly metrics to the readmes.
It will be more convenient to add it after PR openvinotoolkit/anomalib#17 is merged.

The READMEs should follow a similar structure as DFM and DFKDE

Tasks

  • GANomaly readme
  • Repository readme
Documentation Enhancement Good First Issue

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