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Implementing basic ML algorithms using vanilla PyTorch.

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Name		Name	Last commit message	Last commit date
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algos		algos
notebooks		notebooks
.gitignore		.gitignore
README.md		README.md

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ML Basics with PyTorch

Here you may find implementations of ML models using basic PyTorch functionalities. I won't use any predefined loss functions or optimizers.

Models

Basic

Linear Regression
- Code
- Notebook (with math)
Logistic Regression
- Code
- Notebook (with math)
Support Vector Machine
- Code
- Notebook (with math)
K-Nearest Neighbors Classifier
- Code
- Notebook (with math)

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Implementing basic ML algorithms using vanilla PyTorch.

python machine-learning algorithms jupyter-notebook pytorch from-scratch

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