predictions

Lightning ⚡️ fast forecasting with statistical and econometric models.

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters

This is a repository for an object detection inference API using the Tensorflow framework.

Predicting soccer matches outcomes with machine learning as time series.

A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping

⚽ Home Assistant World Cup 2026 integration with live fixtures, results, standings, statistics, predictions and a ready-to-import dashboard.

Real-time explainable machine learning for business optimisation

Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)

Templates for Building AI Predictions Models.

Batch scoring script for making predictions

This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.

This is a Pytorch implementation of PFST-LSTM, a recurrent model for precipitation nowcasting (radar echo extrapolation) as described in the following paper: PFST-LSTM: a SpatioTemporal LSTM Model with Pseudo-flow Prediction for Precipitation Nowcasting

Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it

Python repository that uses time-series data from the S&P 500 to train a RandomForestClassifier to predict the probability of a stock price increasing or decreasing. This script is meant for educational purposes only - this is not financial advice. Consult with your financial adviser before making any investments.

Soccer prediction package fitted with REST API

In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.

A linear regression model to forecasting the Italian new COVID-19 cases of next days.

Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI

⚡🔋 A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries