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### Idea Contribution
- [X] I have read all the resource request issues.
- [X] I'm interested in working on this issue
- [X] I'm part of GSSOC organization
### Where do you want to add the resource?…
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# Machine Learning Library in Python from scratch - Evolutionary Game LAB
Single neuron perceptron that classifies elements learning quite quickly.
[https://eglabsid.github.io/ML-Library-from-scratc…
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Description:
Right now, the project focuses on specific machine learning models. We would like to add support for more models, such as Random Forest, K-Nearest Neighbors, or SVM, for donor segmenta…
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### System Info
```shell
optimum-habana: v1.13.2
habanalabs-dkms/jammy 1.17.1-40
DOCKER_IMAGE=vault.habana.ai/gaudi-docker/1.17.1/ubuntu22.04/habanalabs/pytorch-installer-2.3.1:latest
```
### Inf…
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This project is an implementation of an Artificial Neural Network (ANN) to classify images of cats and dogs. The dataset used contains images of cats and dogs and is obtained from Kaggle. The implemen…
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Look into [Neuroph](http://neuroph.sourceforge.net/documentation.html) and [Deep Learning 4j](http://deeplearning4j.org/) and measure the performances of those.
Zomis updated
8 years ago
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This means
- create a repository in the stratosphere account
- create a good structure for the repo. It should be extensible for new algorithms
- Add logistic regression into the repository. https://…
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Some automl libraries: https://www.google.com/search?q=automated+machine+learning+best+libraries&rlz=1C5CHFA_enPK968PK968&ei=UStwYdu4E6SM9u8PkbyKyA8&ved=0ahUKEwibpeaHndnzAhUkhv0HHRGeAvkQ4dUDCA4&uact=5…
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https://github.com/mlpack/mlpack
Non-trivial to build. depends on boost, also armadillo for which there is no package currently.
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There are numerous libraries out there that implement standard ML techniques like k-nearest-neighbour, support vector machines, neural networks, bayes networks etc. This is a collection of links and d…