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An Open Source Machine Learning Framework for Everyone
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Protocol Buffers - Google's data interchange format
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
A library for efficient similarity search and clustering of dense vectors.
A library that provides an embeddable, persistent key-value store for fast storage.
An open-source C++ library developed and used at Facebook.
A modern replacement for Redis and Memcached
Productive, portable, and performant GPU programming in Python.
FlatBuffers: Memory Efficient Serialization Library
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" mea…
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Ceph is a distributed object, block, and file storage platform
Event-driven network library for multi-threaded Linux server in C++11
NoSQL data store using the Seastar framework, compatible with Apache Cassandra and Amazon DynamoDB
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/READ…
Cap'n Proto serialization/RPC system - core tools and C++ library
FlashMLA: Efficient Multi-head Latent Attention Kernels
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.