kaicao

deeplearning4j

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

djl

An Engine-Agnostic Deep Learning Framework in Java

esper

Esper Complex Event Processing and Event Series Analysis

fabric-sdk-java

Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric-sdk-java

flink

Apache Flink

grpc-java

The Java gRPC implementation. HTTP/2 based RPC

gRPC_test

Examples for gRPC

HdrHistogram

A High Dynamic Range (HDR) Histogram

HouseIndex

humble-video

Humble Video: Demuxing, Decoding, Filtering, Encoding and Muxing of 100's of video and audio formats and Codecs from the JVM

HyperLedgerChain

java

Java bindings for TensorFlow

kafkacat

Generic command line non-JVM Apache Kafka producer and consumer

kibana

Your window into the Elastic Stack

ksql

KSQL - the Streaming SQL Engine for Apache Kafka

models

Models and examples built with TensorFlow

nd4j

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

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

pca_langchain

Trying out OCR with langchain

PikachuDetector

TensorFlow object detection from a Movie. Execute by Apache Flink.

SecLists

SecLists is the security tester's companion. It is a collection of multiple types of lists used during security assessments. List types include usernames, passwords, URLs, sensitive data grep strings, fuzzing payloads, and many more.

SparkStudy

Study Spark features

splunk-sdk-java

Splunk Software Development Kit for Java

StockSurfer

tensorflow

Computation using data flow graphs for scalable machine learning

tidb

TiDB is a distributed HTAP database compatible with the MySQL protocol

traccar

Traccar GPS Tracking System

traccar-web

Traccar GPS Tracking System

vaadin-lumo-styles

Lumo is an evolving design system foundation for modern web applications, used by Vaadin Elements. https://vaadin.com/elements

You-Dont-Know-JS

A book series on JavaScript. @YDKJS on twitter.