Popular GitHub Repositories for Forecast Combination

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database?.

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

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

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.

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

? 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.

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

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

foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).

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

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

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

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features