The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.
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Updated
May 16, 2024 - TypeScript
The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.
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.
Horizontal Pod Autoscaler built with predictive abilities using statistical models
TheTransitClock real-time transit information system
Web page to calculate and interpret the numerology numbers derived from your name and birth date.
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.
An android application to predict risks of getting Diabetes like major health issues.
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.
Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it
Batch scoring script for making predictions
🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧
Machine learning based text classification in JavaScript using n-grams and cosine similarity
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
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