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Using logging has some advantages, such as being able to redirect output to a file (in a more refined way than just dumping stdout), applying filters, silencing, etc. I came across this when I wanted …
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**User Story**: As a `Data Scientist`, I want to be able to monitoring the training of my published model from my command line.
**Acceptance Criteria**
* Code should be accompanied by unit tests
…
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We need to expose telemetry events generated to BHASAI telemetry
APIs for sending telemetry: https://github.com/BharatSahAIyak/telemetry/blob/dev/docs/api-doc.md
Events to monitor:
- [ ] Data…
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### What is your article idea?
#### The context
This tutorial article guides developers in building a **Learning Management System** for an online school using Strapi CMS.
In this tutorial, dev…
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Early stopping is a technique used in preventing overfitting and improving generalization performance of neural network models. By monitoring the model performance on a validation set during the train…
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### Bug description
I have a problem where I use `min_epochs` because it can take a while before the training starts to converge.
EarlyStopping is triggered quite early, but I thought to set `min_…
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Hello.
First, I would like to thank you for conducting such progressive and impressive research.
I was surprised when I saw the impact of point adjustment (PA) on an anomaly detection task.
I want …
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I view Nostr as an open database. However, using **kind 30078** requires constantly monitoring the original values, which makes it unsuitable for use as a cumulative database.
To utilize Nostr as a…
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Thanks for your awesome work.
I want to train a segmentation network on the provided dataset, via run:
```
# 1 train a segmentation model
sh ./scripts/train_sfpnr50.sh
# 2 generate segmentation f…
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Hi @7rkMnpl,
To integrate a custom callback with early stopping in YOLOv5, you would need to modify the training script to include your custom callback logic. Here's a general outline…