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Reorganize Directories by Language and Update README Files

3

This PR addresses issue #154 by reorganizing the MLPACK examples directory to improve its structure and clarity. Following the discussion in the issue, the changes aim to standardize the structure...

ViswanathBalla22

Refactor rl examples - updated README

3

Ali-Hossam

df.corr should add additional argument to handle string data

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1. (Minor) add `!pip install packages` including `statsmodels` , `folium`, and most important `mlpack` to avoid errors if user try on Jupyter notebook online. 2. (Major)since pandas version 2.0.0 now...

tunglinwood

New Example Using YOLO

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Hey, as YOLO has been already added to the model [repo](https://github.com/mlpack/models/tree/master/models/yolo) I was thinking I can make a Face Mask Detector using YOLO. Shall I start working on it? It...

heisenbuug

Interesting examples to add to this repo.

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Hey everyone, I am suggesting a list of examples that might be fun to add to this repo : ~1. SRGAN and maybe ESRGAN.~ 2. DCGAN on CelebA(This is currently...

kartikdutt18

Put examples in folder by language

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Current [readme](https://github.com/mlpack/examples/blob/master/README.md) indicates examples should be put in folders by programming language and/or environment. Do this and ensure that any paths are adjusted appropriately.

bkmgit

Guidelines for adding new examples

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So this issue gives out a template or a guide that can be followed or kept in mind when writing new examples: - The examples should be well documented in...

kausky

GANs mnist

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@kartikdutt18 @zoq I have created this new pull request coz in the earlier branch a lot of stuff has been messed up. To do: 1. Document Model architecture( It's half...

swaingotnochill

Binding Examples [Discussion]

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I'm not confident if this is a good idea, but it would be interesting to have a simple example for each of the bindings. This could double as a more...

birm

Add BatchNorm Layer to mnist_cnn.

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Hey everyone, This PR adds BatchNorm Layer to mnist_cnn example. Closes #105. The results of training are given below : With BatchNorm Accuracy : ``` Accuracy: train = 89.2%, valid...

kartikdutt18