GitHub

This work is created by Foram Shah and Parshwa Shah in collaboration for ITCS6556 - Machine Learning (by Christian Kümmerle) course at UNC Charlotte.

Files

Below is the list of files and their description:

custom_diffusion_training.ipynb: This file contains the implementation of the custom diffusion training algorithm.
stable_diffusion_inference_steps.ipynb: This file contains the implementation of the stable diffusion training algorithm.
rnn_lstm.ipynb: This file contains the implementation of the RNN and LSTM models.
transformer.ipynb: This file contains the implementation of the Transformer model.
conversion.py: This file contains the implementation of the conversion of spectrogram to audio (Can also be extended for PyDub to Spectrogram).

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
dataset		dataset
diffusionSamples		diffusionSamples
riffusion_helper		riffusion_helper
.gitignore		.gitignore
LSTM_losses.npy		LSTM_losses.npy
README.md		README.md
conversion.py		conversion.py
createWaveform.py		createWaveform.py
custom_diffusion_training.ipynb		custom_diffusion_training.ipynb
data_preperation.py		data_preperation.py
environment.yml		environment.yml
h5_getter.py		h5_getter.py
lstm_model.pth		lstm_model.pth
midi_to_mp3.py		midi_to_mp3.py
model-lstm.pth		model-lstm.pth
model-rnn.pth		model-rnn.pth
presentation.ipynb		presentation.ipynb
rnn_losses.npy		rnn_losses.npy
rnn_lstm.ipynb		rnn_lstm.ipynb
rnn_model.pth		rnn_model.pth
soothingSlowMusic.jpg		soothingSlowMusic.jpg
soothingSlowMusic.mp3		soothingSlowMusic.mp3
spectogram_creator.py		spectogram_creator.py
stable_diffusion_inference_steps.ipynb		stable_diffusion_inference_steps.ipynb
test_notes.json		test_notes.json
train_notes.json		train_notes.json
train_notes.npy		train_notes.npy
transformer.ipynb		transformer.ipynb
transformer_losses.npy		transformer_losses.npy