ml-notebooks

1. forecast_power_data.ipynb

forecast power consumption time series data using pytorch Sequential (vanilla FCNN) and LSTM

useful links: UCI power dataset (https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption)

2. mood_classifier.ipynb

detect a person's mood, face position, sunglasses or not using a ConvNet+classifier architechture

useful links: CMU faces dataset (https://archive.ics.uci.edu/ml/machine-learning-databases/faces-mld/faces.tar.gz)

3. horse_segmenter.ipynb

segment horses present in image by training on a dataset using Unet

useful links: unet description and model: https://amaarora.github.io/2020/09/13/unet.html

weizmann horse dataset: https://www.msri.org/people/members/eranb/weizmann_horse_db.tar.gz