An Open Source Machine Learning Framework for Everyone
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Updated
Aug 10, 2025 - C++
An Open Source Machine Learning Framework for Everyone
ClickHouse® is a real-time analytics database management system
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A distributed, fast open-source graph database featuring horizontal scalability and high availability
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
qTox is a chat, voice, video, and file transfer IM client using the encrypted peer-to-peer Tox protocol.
YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
The C++ Standard Library for Parallelism and Concurrency
Distributed "massively parallel" SQL query engine
vineyard (v6d): an in-memory immutable data manager. (Project under CNCF, TAG-Storage)
Framework and Library for Distributed Online Machine Learning
Nebula is a powerful framwork for building highly concurrent, distributed, and resilient message-driven applications for C++.
AREG blurs the borders between processes and threads, letting you build multiprocessing C++ applications as if all components coexist in the same thread.
A distributed storage benchmark for file systems, object stores & block devices with support for GPUs
Performance-portable geometric search library
A tree-based federated learning system (MLSys 2023)
Distributed FM and LR based on Parameter Server with Ftrl
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