There are 1 repository under hopsworks topic.
Hopsworks - Data-Intensive AI platform with a Feature Store
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
Develop and deploy a real-time feature pipeline in Python, using Bytewax ๐ and Hopsworks Feature Store.
Python - Java/Scala API for the Hopsworks feature store
Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expected.
A simple app to help you find relevant machine learning papers to read.
Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.
Backfill historical OHLC feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).
Hopsworks.ai Terraform provider
Predicting Snow Conditions in Passo Tonale (Trento, Italy)
Terraform module that creates the required cloud resources for Hopsworks.ai clusters on AWS and AZURE.
MLOps application that forecasts the next three days Air Quality Index (AQI) for Lahore, Pakistan, using a 100% serverless stack.
Forecasting Ethereum return quantiles using a handful of different statistical learning models and selecting the best based on out of sample error. Hopsworks feature store and model registry is used to automate the process. Ethereum quantile returns are predicted daily and displayed on a Streamlit dashboard.
This is a batch-inference service of NYC Taxi rides ๐.
Modern machine learning project development - This end-to-end project implementation provides the real-time delay updates to logistic companies. It uses MLflow for model tracking and management, Hopsworks Feature Store for storing and managing the dataset, and Streamlit for building an interactive web application to predict truck delays.
FastRide: NYC Taxi Trip Duration Prediction employs machine learning techniques to accurately predict the duration of taxi trips in New York City, helping transportation businesses optimize operations and enhance customer satisfaction.
Go SDK to interact with the Hopsworks API
Abuja (Nigeria), Air Quality Prediction
shows how to backfill Energy Consumption feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).
Serverless Machine Learning for Titanic Dataset
A study project to explore Hopsworks - a fraud detection classifier. The project was inspired by one of the tutorials available in the Hopsworks documentation.
The work uses Hopsworks for Feature store and creating Feature groups for Machine learning modeling
Building a full cycle of Machine learning Prediction App for Air quality
Taxi Ride Prediction - Python, Hopsworks, Streamlit, Mlflow