Machine Learning Collection

In this repository I will be uploading everything machine learning related. 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're a beginner, and for a few I've done the derivations on my blog. If you got any questions add an issue or would like to add an algorithm do a PR! This repository is contribution friendly 😃

✅ 🔺: Algorithm is tested/untested

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

Deeplearning Pytorch

Everything for now is implemented using the PyTorch-framework.

1. Basics

• Tensor Basics
• Feedforward Neural Network
• Convolutional Neural Network
• Recurrent Neural Network
• Bidirectional Recurrent Neural Network
• Loading and saving model
• Custom Dataset (Images)
• Transfer Learning and finetuning
• Transforms & Data Augmentation
• Learning Rate Scheduler
• Initialization of weights

2. More Advanced

• Neural Style Transfer
• Generative Adversarial Networks
• 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

3. Architectures

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

4. Utilities

• TensorBoard Example

5. Smaller Projects

• Exploring MNIST- Needs updating
• Text Generating LSTM