Lightning ⚡️ fast forecasting with statistical and econometric models.

The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

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.

Horizontal Pod Autoscaler built with predictive abilities using statistical models

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

Easy to Deploy Prediction Market Platform

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Predicting soccer matches outcomes with machine learning as time series.

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

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

Discover your core numerology numbers from your name and birth date, and learn what they reveal about your personality, life path, and destiny.

Applied artificial intelligence in Godot game engine

Real-time explainable machine learning for business optimisation

🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧

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

Templates for Building AI Predictions Models.

Examples for usage of Mindsdb https://www.mindsdb.com/

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

No description provided.

An android application to predict risks of getting Diabetes like major health issues.

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.

Sample demo that shows how to build an AI powered app using Amplify, AppSync, DynamoDB, Cognito and Rekognition.