Awesome C++
Section: Machine Learning · Fast search and clustering library for vectors and strings. [Apache2]
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Appears in 6 awesome lists
Fast single-file similarity search & clustering engine for vectors. Smaller and faster than FAISS with 20+ language bindings (C++, Python, JavaScript, Rust, Java, Go, etc.) and support for custom metrics. Apache 2.0 licensed.
Section: Machine Learning · Fast search and clustering library for vectors and strings. [Apache2]
Section: C++ · Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · Fast single-file similarity search & clustering engine for vectors. Smaller and faster than FAISS with 20+ language bindings (C++, Python, JavaScript, Rust, Java, Go, etc.) and support for custom metrics. Apache 2.0 licensed.
Section: Library
Section: Database · Similarity Search Engine for Vectors and Strings
Section: Other · Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
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, Flink and DataFlow. [Apache2]
General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.