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GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.

MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.

  • database
  • learn-to-database
  • mini-database
  • classroom

One proximity graph for vector search, sparse products & attention across RAM, VRAM & NVMe, over dense vectors, sequences, shapes & geospatial sets in 14 languages 🔍

A composable and fully extensible C++ execution engine library for data management systems.

  • data-management
  • query-processing

Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

  • onednn
  • oneapi
  • performance
  • cpp