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.

Predict time-series with one line of code.

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

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.

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

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.

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

Soccer prediction package fitted with REST API

Real-time American Sign Language (ASL) interpreter using MediaPipe, Tensorflow, and Keras

Roboflow's inference server to analyze video streams. This project extracts insights from video frames at defined intervals and generates informative visualizations and CSV outputs.