There are 1 repository under deepar topic.
Scalable and user friendly neural :brain: forecasting algorithms.
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.
Snapchat-like filters, AR lenses, and real-time facial animations.
Time-Series models for multivariate and multistep forecasting, regression, and classification
Time Series Forecasting for the M5 Competition
DeepAR SDK for Android example project
DeepAR SDK for iOS example project
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
Video call using Agora.io SDK with face masks provided by DeepAR SDK
Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
Udacity Machine Learning Engineer Nanodegree Capstone Project
Julia DeepAR implementation
How to apply face filter on the photo loaded from gallery using DeepAR SDK
DeepAR SDK for iOS example project
Bitcoin price prediction
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.
Bitcoin Price Prediction Oracle made with AWS DeepAR
How to apply face filter on the photo loaded from gallery using DeepAR SDK
DeepAR implementation for seasonal influenza cases in German districts
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
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.
Devday2023 - Optimizer Power Use - Forecasting power generation and power demand at grid
Predictions on energy prices across EU countries
A mobile application developed in Flutter that uses DeepAR API to make mask filters.
Video call using Vonage SDK with face masks provided by DeepAR SDK
AWS website that displays numerical data, predictions about the numerical data (of cryptocurrency) and the results of sentiment analysis.
Various Template Notebooks for Deploying ML models with Amazon Sagemaker