README.md

awesome-machine-learning-java

Machine and Deep Learning with Java (基于Java的机器学习和深度学习)

Contents

• Basic (基础库)
  • Tensor (张量)
  • Visualization (可视化)
• General (通用)
  • Classification (分类)
  • Clustering (聚类)
• NLP (自然语言处理)
• CV (计算机视觉)
  • Captcha Recognition (验证码识别)
• Graph (图)
• ML/DL with Big Data (大数据机器学习/深度学习)

Basic (基础库)

Tensor (张量)

• ND4J: https://github.com/deeplearning4j/nd4j
• NDArray (MXNet Scala API): https://mxnet.incubator.apache.org/api/scala/index.html
• breeze (Scala): https://github.com/scalanlp/breeze

Visualization (可视化)

• grap: https://github.com/eseifert/gral
• matplotlib4j: https://github.com/sh0nk/matplotlib4j
• JFreeChart: https://github.com/jfree/jfreechart
• XChart: https://github.com/knowm/XChart
• JMathPlot: https://github.com/yannrichet/jmathplot
• jzy3d: http://www.jzy3d.org/

General (通用)

Classification (分类)

• libsvm: https://github.com/cjlin1/libsvm/tree/master/java
• Logistic Regression with Spark MLlib (Spark MLlib上的逻辑回归): https://spark.apache.org/docs/2.2.0/ml-classification-regression.html
• xgboost: https://github.com/dmlc/xgboost

Clustering (聚类)

• KMeans with Spark MLlib (Spark MLlib上的KMeans聚类): https://spark.apache.org/docs/latest/ml-clustering.html

NLP (自然语言处理)

CV (计算机视觉)

Captcha Recognition (验证码识别)