Lightning ⚡️ fast forecasting with statistical and econometric models.
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Updated
Jun 6, 2024 - Python
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.
This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.
Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it
Batch scoring script for making predictions
An example of a website to demonstrate how to use a pre-trained machine learning model to give predictions to a user. Deployed on render.com.
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping
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
AI application that can predict the survival of patients with heart failure using 12 clinical features.
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.
Soccer prediction package fitted with REST API
Real-time explainable machine learning for business optimisation
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.
AI framework/starter kit for content publishing tools
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
The code for the NeurIPS 2019 Graph Representation Learning workshop paper "Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases" (Ferreira et al., 2019)
A linear regression model to forecasting the Italian new COVID-19 cases of next days.
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