AnomalyDetectionUsingAutoencoder

otenim

Anomaly detection using Autoencoder implemented with Keras 2.

keras

View on GitHub

65 Stars

16 Forks

65 Watchers

Python Language

mit License

Cost to Build

$34.7K

Market Value

$53.3K

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2023-07-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about AnomalyDetectionUsingAutoencoder

Question copied to clipboard

What is the otenim/AnomalyDetectionUsingAutoencoder GitHub project? Description: "Anomaly detection using Autoencoder implemented with Keras 2.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone AnomalyDetectionUsingAutoencoder

Clone via HTTPS

git clone https://github.com/otenim/AnomalyDetectionUsingAutoencoder.git

Clone via SSH

[email protected]:otenim/AnomalyDetectionUsingAutoencoder.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the AnomalyDetectionUsingAutoencoder issue tracker:

Open GitHub Issues

Similar to AnomalyDetectionUsingAutoencoder

data-science-ipython-notebooks Screenshot-to-code cheatsheets-ai onnx sketch-code are-you-fake-news tqdm dspp-keras deepo faceai Repo-2017 lambda-packs Mask_RCNN keras-js horovod pipeline keras-serving production_ml Deep-Learning-in-Production BigDL MLBox deepschool.io auto_ml deepjazz keras-rl DeepLearningZeroToAll Keras-GAN Practical_RL deep-learning-keras-tensorflow MMdnn