This repository collects existing machine learning and deep learning tutorials based on their implementation frameworks.
For basic machine learning, the repository collects models using both Sklearn
and low-level Numpy implementation.
For deep learning, the repository collects three widely used frameworks:
- Keras (now an API in Tensorflow)
- Tensorflow 1.x/2.x
- Pytorch
In addition, the repository collects some useful repositories that help better understanding and usage of deep learning frameworks:
- Low-level Numpy implementation
- (unofficial) deep learning APIs in Julia.
- Some deep learning usecases