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 if you want a walkthrough for the code. If you got any questions or suggestions for future videos I prefer if you ask it on YouTube. This repository is contribution friendly, so if you feel you want to add something then I'd happily merge a PR :smiley:

Table Of Contents

• Machine Learning Algorithms
• PyTorch Tutorials
  • Basics
  • More Advanced
  • Object Detection
  • Generative Adversarial Networks
  • Architectures
• TensorFlow Tutorials
  • Beginner Tutorials
  • Architectures

Machine Learning

•   Linear Regression - With Gradient Descent :white_check_mark:
•   Linear Regression - With Normal Equation :white_check_mark:
•   Logistic Regression
•   Naive Bayes - Gaussian Naive Bayes
•   K-nearest neighbors
•   K-means clustering
•   Support Vector Machine - Using CVXOPT
•   Neural Network
• Decision Tree

PyTorch Tutorials

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

Basics

•   Tensor Basics
•   Feedforward Neural Network
•   Convolutional Neural Network
•   Recurrent Neural Network
•   Bidirectional Recurrent Neural Network
•   Loading and saving model
•   Custom Dataset (Images)
•   Custom Dataset (Text)
•   Transfer Learning and finetuning
•   Data augmentation using Torchvision
•   Data augmentation using Albumentations
•   TensorBoard Example
•   Calculate Mean and STD of Images
•   Simple Progress bar
•   Deterministic Behavior
•   Learning Rate Scheduler
•   Initialization of weights

More Advanced

•   Text Generating LSTM
•   Semantic Segmentation w. U-NET
•   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

•   Intersection over Union
•   Non-Max Suppression
•   Mean Average Precision
•   YOLO from scratch

Generative Adversarial Networks

•   Simple FC GAN
•   DCGAN
•   WGAN
•   WGAN-GP
• ProGAN (video coming soon)

Architectures

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

TensorFlow Tutorials

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

Beginner Tutorials

•   Tutorial 1 - Installation, Video Only
•   Tutorial 2 - Tensor Basics
•   Tutorial 3 - Neural Network
•   Tutorial 4 - Convolutional Neural Network
•   [Tutorial 5 - Regularization](https://github.com/AladdinPerzon/Machine-Learning-Collectio