PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

Python Darts deep forecasting models

Repo containing time series forecasting solutions ranging from N-BEATS, LSTM and autoregressive models trained for predicting stock and bitcoin price.

Homeworks for the course Artificial Neural Networks & Deep Learning @ PoliMi.

Public copy of our engineering degree project

BitForecast is a simple project based on Time Series Data Analysis which helps to predicts/forecasts the value of bitcoin in the near future.

This repository contains an introduction to the Time_series fundamentals in TensorFlow and also an end-to-end forecasting model that is going to predict the future price of Bitcoin, based on the historical price of Bitcoin. The model built in this notebook follows a supervised learning approach.