Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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Updated
Dec 4, 2024 - C++
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A distributed, fast open-source graph database featuring horizontal scalability and high availability
Instant Kubernetes-Native Application Observability
Service Fabric is a distributed systems platform for packaging, deploying, and managing stateless and stateful distributed applications and containers at large scale.
A modern high-performance open source message queuing system
Curve is a sandbox project hosted by the CNCF Foundation. It's cloud-native, high-performance, and easy to operate. Curve is an open-source distributed storage system for block and shared file storage.
C++ implementation of Raft core logic as a replication library
LizardFS is an Open Source Distributed File System licensed under GPLv3.
vineyard (v6d): an in-memory immutable data manager. (Project under CNCF, TAG-Storage)
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
Nebula is a powerful framwork for building highly concurrent, distributed, and resilient message-driven applications for C++.
Formation Flight in Dense Environments
A ROS package of DCL-SLAM: Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm.
A graph-based distributed in-memory store that leverages efficient graph exploration to provide highly concurrent and low-latency queries over big linked data
A distributed block-based data storage and compute engine
Robust applications framework in C++. Includes a static analysis tool and two applications.
A ZooKeeper client for C++.
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks
A High-performance Cluster Computing Engine
This is the source code for our (Tobias Ziegler, Carsten Binnig and Viktor Leis) published paper at SIGMOD’22: ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA.
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