Lightning ⚡️ fast forecasting with statistical and econometric models.
-
Updated
Oct 8, 2025 - Python
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.
Machine learning based text classification in JavaScript using n-grams and cosine similarity
Easy to Deploy Prediction Market Platform
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.
TheTransitClock real-time transit information system
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)
Examples for usage of Mindsdb https://www.mindsdb.com/
Add a description, image, and links to the predictions topic page so that developers can more easily learn about it.
To associate your repository with the predictions topic, visit your repo's landing page and select "manage topics."