MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
- deep-learning
- neural-network
- opencl
- neon
Repository Index
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Native filesystem access for react-native
- react-native
- filesystem
- download
Multi-channel signed distance field generator
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
- plot-categories
- data-visualization
- contour-plots
- polar-plots
ArrayFire: a general purpose GPU library.
A high performance, editable terrain system for Godot 4.
- godot-plugin
- godot4
- terrain
- gamedev-tool
Fast inference engine for Transformer models
- neural-machine-translation
- cpp
- mkl
- quantization
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
TranslatedC++ high-performance distributed server framework, webserver, websocket server, custom tcp_server (including logging module, configuration module, thread module, coroutine module, coroutine scheduling module, IO coroutine scheduling module, hook module, socket module, bytearray serialization, http module, TcpServer module, Websocket module, Https module, etc., Smtp email module, MySQL, SQLite3, ORM, Redis, Zookeeper)
- cpp
- distribution
- framework
- high-performance
A custom launcher for Minecraft that allows you to easily manage multiple installations of Minecraft at once
high-performance rendering backend (C++, Python, C#, Java)
Quantifying the pulse of parallelism: A C++ concurrency telemetry framework measuring the human-perceived efficiency of concurrent execution strategies.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
- deep-learning
- mnn
- ncnn
- inference
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
- graph-algorithms
- graph-database
- graph-analysis
- kafka
One proximity graph for vector search, sparse products & attention across RAM, VRAM & NVMe, over dense vectors, sequences, shapes & geospatial sets in 14 languages 🔍
- kann
- vector-search
- approximate-nearest-neighbor-search
- simd
Advanced usermode anti-anti-debugger. Forked from https://bitbucket.org/NtQuery/scyllahide
A lightweight process isolation tool that utilizes Linux namespaces, cgroups, rlimits and seccomp-bpf syscall filters, leveraging the Kafel BPF language for enhanced security.
An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.
- ai
- amd-gpu
- apple-silicon
- asr
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
JPEG XL image format reference implementation
- image-compression
- encoder
- decoder
- codec
High performance motor control
- motor
- motor-controller
A modern C++ network library for developing high performance network services in TCP/UDP/HTTP protocols.
- network-library
- libevent
- high-performance
- nonblocking
Tutorial for the Vulkan graphics and compute API
Khronos-reference front end for GLSL/ESSL, partial front end for HLSL, and a SPIR-V generator.