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The task aims to develop a machine learning model capable of analysing road scenes to detect the presence of animals in the middle of the road, thereby mitigating the risk of road accidents. Through o…
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### Describe the issue
When the model is used many errors are produced, while using CPU it works fine.
### To reproduce
When starting HW machine learning the following errors appear:
```
immich…
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I'm new to machine learning and have been learning about object detection models. I trained a YOLOv5 model using Ultralytics and would like to deploy it on an edge device that only supports TensorFl…
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# Don't Mock Machine Learning Models In Unit Tests
How unit testing machine learning code differs from typical software practices
[https://eugeneyan.com/writing/unit-testing-ml/](https://eugeneyan.c…
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Currently there are no examples showing how pytorch was used to develop machine learning models to classify tumors as either malignant or benign. This jupyter notebook shall contain some details on th…
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You can add math models which helps in financial forcasting.
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : [Model Enhancement]: Electron Microscopy Particle Segmentation
:red_circle: **Aim** : The aim is to enh…
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**Overview:**
The model leverages the capabilities of Artificial Intelligence and Natural Language Processing to automate the resume screening.
By utilizing machine learning techniques, it efficie…
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Do you support Databricks foundation model APIs?
https://docs.databricks.com/en/machine-learning/foundation-models/index.html
Thanks,
Ravi.
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Need to use online tools to create machine learning model for the twitter sentiment analysis. Will have to brush up on tensor-flow or PyTorch, and then make a decision on which tool we are going to be…