haifengl/smile
Statistical Machine Intelligence & Learning Engine
This project helps data scientists, machine learning engineers, and analysts build and deploy various machine learning models. You can feed in raw data or features and apply algorithms for tasks like predicting outcomes, grouping similar data points, or understanding complex relationships. The output is a trained model ready for predictions or insights, along with tools to explore data and visualize results.
6,348 stars. Actively maintained with 301 commits in the last 30 days.
Use this if you need a comprehensive, high-performance toolkit for a wide range of machine learning tasks directly within a Java, Scala, or Kotlin environment.
Not ideal if you primarily work with other programming languages like Python or R, or if you need a cloud-native, serverless machine learning platform.
Stars
6,348
Forks
1,145
Language
Java
License
—
Category
Last pushed
Mar 09, 2026
Commits (30d)
301
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/haifengl/smile"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Recent Releases
Related frameworks
NishkarshRaj/100DaysofMLCode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by...
charliedream1/ai_wiki
《AI全栈-全网优秀资源搜集站》:搜集全网优秀资源,记载工程实践问题的解决策略与关键要点,分享各种实用案例,追踪前沿技术发展,囊括 AI...
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Moataz-Elmesmary/Data-Science-Roadmap
Data Science Roadmap from A to Z
rickiepark/hg-mldl2
<혼자 공부하는 머신러닝+딥러닝(개정판)>(한빛미디어, 2025)의 코드 저장소입니다.