Young neural networks passionate. I like learning about different architectures of neural nets and implementing them "myself" (with PyTorch).
- A tiny bit of
- full stack Flask app that will be self hosted on my old and forgotten Ubuntu pc
- expansion of my face generating project I did a while ago for my Different NN architectures overview
- Emotions classifier - a CNN operating on mel spectrograms predicting emotion from audio of the person talking. Trained on RAVDESS dataset
- Numpy NN - a trivial neural network implemented purely in numpy, just to get the hang of all the matrix multiplication that neural nets are basing on
- Different NN architectures overview - JupyterNotebooks with implementations of a few NN architectures: DCGANs, transformers, autoencoders. The notebooks implement these architectures and show how they work on some basic examples
