notebook file to be considered: LSTM_textgenerator.ipynb
everything else is just for documenting the process from ideas to prototypes to product
https://www.kaggle.com/code/purvasingh/text-generation-via-rnn-and-lstms-pytorch/notebook
https://towardsdatascience.com/skip-gram-neural-network-from-scratch-485f2e688238
See pytorch.org on how to download torch with CUDA enabled it generates a pip install line for you
pandas==2.0.1 torch==1.8.2 torchvision==0.9.2 torchaudio==0.8.2 spacy==3.5.2 torchtext==0.9.1