dmmiller612 Goto Github PK

abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

bert-extractive-summarizer

Easy to use extractive text summarization with BERT

correlation-gcn

Correlation Graph Convolutional Networks on Gene Expression and other Biology data

deep-reinforcement-learning-keras

Basic deep reinforcement learning algorithms implemented with Keras

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

fp.js

A simple functional programming library for js

hail

Scalable genomic data analysis.

java-client-api

A Jenkins API client for Java

javers

JaVers is a tool for auditing object-oriented data

lecture-summarizer

Lecture summarization with BERT

machine_learning_spring_weka

Weka with spring example

mlalgorithms

mmlspark

Microsoft Machine Learning for Apache Spark

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

nd4j

Fast, Scientific and Numerical Computing for the JVM (NDArrays)

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

rl4j

Deep Reinforcement Learning for the JVM

spark-redis

A connector for Spark that allows reading and writing to/from Redis cluster

sparkflow

Easy to use library to bring Tensorflow on Apache Spark

sparktorch

Train and run Pytorch models on Apache Spark.

syringe

Very lightweight dependency injection framework for Java