This repository contains a collection of notebooks and scripts that I'm using to learn and experiment with machine learning.
My TODO list:
- Implement a NN from scratch in Numpy
- Do backpropagation by hand for a simple NN
- Try PyTorch
- Try Keras
- Try TensorFlow
- Try JAX
- Try Scikit-learn
- Classify MNIST digits
- Classify CIFAR-10 images
- Classify ImageNet images
- Sentiment analysis on IMDB reviews
- Try CNN
- Try RNN
- Try GAN
- Try KAN
- Try LSTM
- Try Reinforcement Learning
- Try Transformers
- Train a GPT model
- Train a multi-modal model