Scalable and user friendly neural 🧠 forecasting algorithms.

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.

This website focuses on the data visualization of football data, encompassing actual match results, generated predictions by AWS SageMaker, and sentiment analysis based on news data for five football teams

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

DeepAR SDK for Android example project

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

Julia DeepAR implementation

DeepAR implementation for seasonal influenza cases in German districts

Predictions on energy prices across EU countries

DeepAR SDK for iOS example project

Bitcoin price prediction

DeepAR SDK for iOS example project

Snapchat-like filters, AR lenses, and real-time facial animations.

Testing the Reproducibility of the paper: MixSeq. Under the assumption that macroscopic time series follow a mixture distribution, they hypothesise that lower variance of constituting latent mixture components could improve the estimation of macroscopic time series.

Flutter app that integrates TensorFlow Object Detection and DeepAR Integration

Devday2023 - Optimizer Power Use - Forecasting power generation and power demand at grid

A mobile application developed in Flutter that uses DeepAR API to make mask filters.

Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈

Video call using Agora.io SDK with face masks provided by DeepAR SDK

Development of visibility forecast with elastic lead times using NWP model with DeepAR from past observation for the next 12/24 hours using DeepAR inside sagemaker studio and visualizing using AWS Quicksite with API service for clients for selected airports in the country.