Machine Learning Collection

In this repository you will find tutorials and projects related to Machine Learning. I try to make the code as clear as possible, and the goal is be to used as a learning resource and a way to lookup problems to solve specific problems. For most I have also done video explanations on YouTube to make it easier to follow the code. If you got any questions add an issue (or comment on YouTube, I read and answer to most), and if you would like to add an algorithm/improve something please do make a PR! This repository is contribution friendly 😃

Table Of Contents

Machine Learning Algorithms
PyTorch Tutorials
TensorFlow Tutorials
- Beginner Course
- Architectures

Machine Learning

Linear Regression - With Gradient Descent ✅
Linear Regression - With Normal Equation ✅
Logistic Regression
Naive Bayes - Gaussian Naive Bayes
K-nearest neighbors
K-means clustering
Support Vector Machine - Using CVXOPT
Neural Network
Decision Tree - Decision Tree by Philip Andreadis

PyTorch Tutorials

If you have any specific video suggestion please make a comment on YouTube :)

Basics

More Advanced

Text Generating LSTM
Image Captioning
Neural Style Transfer
Torchtext [1] Torchtext [2] Torchtext [3]
Seq2Seq - Sequence to Sequence (LSTM)
Seq2Seq + Attention - Sequence to Sequence with Attention (LSTM)
Seq2Seq Transformers - Sequence to Sequence with Transformers
Transformers from scratch - Attention Is All You Need

Object Detection

Generative Adversarial Networks

Architectures

LeNet5 - CNN architecture
VGG - CNN architecture
Inception v1 - CNN architecture
ResNet - CNN architecture

TensorFlow Tutorials

If you have any specific video suggestion please make a comment on YouTube :)

Beginner Course

CNN Architectures