martinsejas/Java-Machine-Learning
Welcome to JML (Java Machine Learning), a Java implementation of basic clustering techniques from scratch using the MNIST dataset. This project made me expand my technical ability in Java programming as well as my knowledge in machine learning by solving problems covered by popular Python packages such as Pandas and Sklearn.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Java
License
MIT
Category
Last pushed
Apr 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/martinsejas/Java-Machine-Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
o19s/elasticsearch-learning-to-rank
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
oracle/tribuo
Tribuo - A Java machine learning library
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.