Young neural networks passionate. I like learning about different architectures of neural nets and implementing them "myself" (with PyTorch).

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• 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