Popular GitHub Repositories for Demand Forecast

Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.

NeuralProphet: A simple forecasting package

List of papers, code and experiments using deep learning for time series forecasting

[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

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

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 shared library of on-demand DeepStream Pipeline Services for Python and C/C++

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

Summary of open source code for deep learning models in the field of traffic prediction

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.

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

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

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