An Open Source Machine Learning Framework for Everyone
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Updated
Jun 12, 2024 - C++
An Open Source Machine Learning Framework for Everyone
🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
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 is an asynchronous Object RPC framework to simplify multitasking programming by blurring borders between processes and treating remote objects as if they coexist in the same thread.
Performance-portable geometric search library
A distributed storage benchmark for file systems, object stores & block devices with support for GPUs
A tree-based federated learning system (MLSys 2023)
Distributed FM and LR based on Parameter Server with Ftrl
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