-
Notifications
You must be signed in to change notification settings - Fork 55
Time-Series Anomaly Detection #197
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
|
Thank you for submitting your pull request! We'll review it as soon as possible. For further communication, join our discord server https://discord.gg/tSqtvHUJzE. |
Avdhesh-Varshney
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Follow newly updated Project template 👍
|
Hey @Avdhesh-Varshney / @11PRIMUS updated the requested changes and add a few more screenshots |
|
@11PRIMUS awaiting your approval |
|
Wait let me go through it once 🫡 |
11PRIMUS
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
good work @that-ar-guy
|
thanks for the update @Avdhesh-Varshney |
Closes:
fixes: #195
Describe the add-ons or changes you've made 📃
Documentation for the new project:
docs/projects/deep-learning/anamoly-detection.md: Added comprehensive documentation for the time-series anomaly detection project using LSTM networks. This includes the project aim, dataset details, model architecture, steps taken, trade-offs, conclusions, and use cases.Update to project index:
docs/projects/deep-learning/index.md: Added an entry for the new LSTM autoencoder project in the deep learning project index, including a brief description and an image.Checklist: ☑️
Screenshots 📷
Working Video 🎥
TSMmp4.mp4
Happy Coding 🎉