Small collections of introductory code for machine learning
Jupyter Notebook in which a small MLP is being trained using Torch and then the Accuracies during training and the Embeddings get visualized using Matplotlib and Seaborn.
Examlpes of creating text embeddings using BoW, TF-IDF, word2vec and BERT
Small example on how to train a bert classifier using Huggingface