Cheatsheets for various topics in computer science.
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Implementations of several self-supervised pretext tasks for language and vision modalities in PyTorch.
Simple, straight-forward extraction of acoustic and prosodic features from sound waves based on Praat and Parselmouth.
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
Exemplary, annotated machine learning pipeline for any tabular data problem.