Oskar Triebe

neural_prophet. NeuralProphet: A simple forecasting package

AR-Net. A simple Auto-Regressive Neural Network for time-series

federated_kmeans. Federated k-means clustering algorithm implementation and proof of concept.

neuralprophet-data. Datasets used for NeuralProphet tutorials

swiss-cheese. Collection of important and useful coding tricks, tips and knowledge for people with a memory like Swiss cheese.

test-of-time. A small framework to benchmark forecasting models via backtesting

stance_detection. Stance Detection for the Fake News Challenge with Conditional Encoding and Attention LSTM, as Stanford CS224N class project by Stephen Pfohl, Oskar Triebe and Ferdinand Legros.

gym_ev_charging. Python

forecapp. JavaScript

controller_ev_charging. Python

latent_load_gen. Latent-space based residential load generation

synthetic_prophet. Repository for the synthetic time series generation for Neural Prophet

benchmark_prophet. Implementation to run Benchmarks on Neural Prophet

Kats. Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

cervical_cancer_cnn. Kaggle Challenge "ODT/Intel Cervical Cancer" contribution as Stanford CS231N class project by Stephen Pfohl, Oskar Triebe and Ben Marafino

neural_prophet_lightning. Python

gym_dummy_env. DummyEnv - The simplest possible implementation of an OpenAI gym environment

bike_share_map_dashboard. HTML

bike_share_analysis. HTML