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Dear author,
Thank you for your contributions.
I attempted to download the wonderful WeatherKITTIdataset, but I wasn't successful. My goal is to perform some predictions using the WeatherKITTId…
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I often need to perform active learning in the context of multioutput regression. I thus need a measure of uncertainty for my regressor. However, MapieRegressor is not compatible with MultiOutputRegre…
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### Automated Image Colorization Using Deep Learning
#### **Description:**
This project aims to develop an **automated image colorization model** that can take black-and-white images and transform…
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http://doi.org/10.1021/acs.jproteome.6b00618 (http://pubs.acs.org/doi/abs/10.1021/acs.jproteome.6b00618)
> Identifying interactions between known drugs and targets is a major challenge in drug repo…
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**Description:**
We need to improve the readability of our `predict` function in `app/services/cnn/cnn.py`. This function is crucial for performing multi-label image classification using our pre-load…
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XGBoost is an algorithm that has recently been dominating applied machine learning and Kaggle competitions for structured or tabular data, so may be in case of breast cancer prediction it can give be…
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FYI
https://openaccess.thecvf.com/content/CVPR2021W/EarthVision/html/Requena-Mesa_EarthNet2021_A_Large-Scale_Dataset_and_Challenge_for_Earth_Surface_Forecasting_CVPRW_2021_paper.html
https://opena…
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# Alzheimer's Disease Prediction
## Using Machine Learning Algorithms
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### Have you completed your first issue?
- [X] I have completed my first issue
### Guidelines
- [X] I have read the guidelines
- [X] I have the link to my latest merged PR
### Latest Merged PR Lin…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Hello,
I would like to propose the addition of a Retail Price Optimization Machine Lear…