Machine learning models implementation
This repository contains the implementations for several machine learning(ML) and deep learning(DL) models. These models include simple machine learning models such as linear regression, logistic regression, and decision, as well as complex deep neural networks like VGG and ResNet. The brief list of the types of models in this repo can be found here. There are also some simple ML applications in this repo.
Most implementations require dependence of NumPy, Scikit-Learn, Tensorflow, and PyTorch. Some applications depend on other libraries like OpenCV. Special requirements will be illustrated in the ReadMe files for each directory/model.
- Machine Learning
| Category | Model Type | Directory |
|---|---|---|
| Computer Vision | Image Classification | Computer Vision |
| Neural Network | Basic Neural Network | Neural Network |
| Simple Machine Learning | Classification | Simple Machine Learning Models |
| Simple Machine Learning | Regression | Simple Machine Learning Models |