UI Automation Framework for HarmonyOS NEXT | 鸿蒙NEXT自动化框架
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Updated
Jun 29, 2025 - Python
UI Automation Framework for HarmonyOS NEXT | 鸿蒙NEXT自动化框架
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
The Fuzzy-Pattern Tsetlin Machine library, with zero external dependencies, performs blazingly fast.
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning (IEEE AICAS2021)
Accelerator for Hyperdimensional Computing (HDC)
HD Radio SDR Receiver
UI Automation Framework for HarmonyOS NEXT - uiautomator2-compatible API, zero learning cost
DSH 原生鸿蒙开发助手:hdc 设备闭环调试 + 设备面板(官方 client 插件形态)+ 离线官方知识层(Tier-1 随包)+ DevEco CLI 构建/签名/模拟器控制 / DSH-native HarmonyOS dev assistant: hdc device loop, live device panel, offline official knowledge, DevEco CLI build/sign/emulator
scrcpy gui for desktop, supporting Android screen mirroring, and file/process management for both Android and HarmonyOS. 支持安卓设备Scrcpy投屏、安卓和鸿蒙设备文件管理、进程管理的桌面辅助工具。
High-performance Holographic Memory System (HMS) for Node.js, powered by Rust. This library implements Vector Symbolic Architectures (VSA) using Binary Spatter Code (BSC) to enable semantic search, analogical reasoning, and associative memory at scale.
A collection of Hyperdimensional Computing (HDC) models implemented in C++
Holographic vectors you can compute with. Bind structure, bundle sets, unbind components cross NumPy, PyTorch, and JAX.
A cognitive substrate for AI agents — hyperdimensional memory with first-class goals, beliefs, sensory, self-model, and a non-destructive unlearn primitive. Rust top to bottom, embedded-first, no LLM in the read path. One binary, no query language.
Sparse binary hypervectors and associated learners.
Repository for HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing
A high-performance autonomous bitwise model leveraging Vector Symbolic Architectures (VSA) and Hyperdimensional Computing (HDC). Built in Rust.
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