Popular GitHub Repositories for Football 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

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Unified Reinforcement Learning Framework

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

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。

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)

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

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 project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.

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.

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