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ar-net

A simple Auto-Regressive Neural Network for time-series

atom

:atom: The hackable text editor

benchmark_prophet

Implementation to run Benchmarks on Neural Prophet

bike_share_analysis

bike_share_map_dashboard

cervical_cancer_cnn

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

controller_ev_charging

fastai2

Temporary home for fastai v2 while it's being developed

federated_kmeans

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

forecapp

gym_dummy_env

DummyEnv - The simplest possible implementation of an OpenAI gym environment

gym_ev_charging

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.

latent_load_gen

Latent-space based residential load generation

neural_prophet

NeuralProphet: A simple forecasting package

neural_prophet_lightning

neuralprophet-data

Datasets used for NeuralProphet tutorials

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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.

swiss-cheese

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

synthetic_prophet

Repository for the synthetic time series generation for Neural Prophet

test-of-time

A small framework to benchmark forecasting models via backtesting