Popular GitHub Repositories for Forecast

NeuralProphet: A simple forecasting package

[ICLR 2024] Official implementation of " ? Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

RNN based Time-series Anomaly detector model implemented in Pytorch.

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

tfts: Time Series Deep Learning Models in TensorFlow

Modeltime unlocks time series forecast models and machine learning in one framework

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

? A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

AI-powered inventory management system using LSTM models and transfer learning to forecast product demand, minimize stockouts, and reduce overstock. Designed for easy adaptation to real-world business data.

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

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This repository containts materials for End-to-End AI for Science

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Python Voice Assistant project can: recognize and synthesize speech without Internet access; report the weather forecast anywhere in the world; make a search in the Google; make a video search in the YouTube; make a search for a definition in Wikipedia and read it; translate from the target language to the user's native language, and much more

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Using Deep Learning for Demand Forecasting with Amazon SageMaker

Time series based anomaly detector

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network