CogComp/lbjava
Learning Based Java (LBJava)
This project helps developers and researchers integrate machine learning capabilities directly into their Java applications. You provide structured data and define how features should be extracted, and it generates Java code that can classify or label new, unseen data based on trained models. It's designed for Java programmers who need to embed custom learning models without building them from scratch using external frameworks.
No commits in the last 6 months.
Use this if you are a Java developer or researcher needing to create and embed custom machine learning models for tasks like classification or sequence labeling directly within your Java application.
Not ideal if you are not a Java developer or prefer using pre-built machine learning libraries and services rather than implementing custom learning logic.
Stars
14
Forks
17
Language
Java
License
—
Category
Last pushed
Jul 01, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CogComp/lbjava"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
oracle/tribuo
Tribuo - A Java machine learning library
o19s/elasticsearch-learning-to-rank
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Waikato/meka
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
Waikato/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine...
allegro/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.