Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)
Saga Pattern implementations
BeatVibrator is an experimental Android app that converts MP3 audio into synchronized haptic feedback using advanced LRA motors. It analyzes music locally (FFT, RMS, onsets) to generate tactile patterns aligned with the rhythm. Designed to explore tactile musicality, sensory design, and real-time audio-haptics mapping on modern Android devices.
An example code for modulating the resonant frequencies of LRAs on DRV2605.
A diabolic implementation of mcSAT 😈
Actuator Numerical Simulation & Validation (ANSV) - A haptic simulation framework for linear motor / LRA modeling, dynamic response analysis, and performance verification.
Helidon Cinema Reservation
本项目探索并实现超越传统 Transformer 架构的高效序列建模方法，重点关注状态空间模型（SSM）Mamba 和线性注意力机制等新型架构。项目基于Pytorch框架，从零设计实现了一套完整的模型训练、评估、记录和可视化方案，并完成 GLUE Benchmark 和 LRA 的适配工作。
Refactor of dLinear4 https://github.com/martinjos/dlinear4
Dieses Programm ermöglicht die Abfrage von Müllabfuhrterminen über die API des Landkreises Garmisch-Partenkirchen.
The EBU R128 loudness meter libebur128 in C# for .NET 10, faster than the original C in every mode. Momentary, short-term and integrated loudness, loudness range, sample peak and true peak with no managed allocation, output verified against the original, Native AOT ready. Install from NuGet.
Experimental LRA client implementation inspired by Microprofile LRA for Java
Boardoza DRV2605L Haptic Driver Breakout Board is an I²C-controlled smart vibration motor driver for ERM and LRA actuators with built-in haptic effect library.
震感音乐 MusicVibe · 开源技术文档：不改动任何音乐 App，通过系统音频回环捕获实时提取低频打击成分，转成线性马达振幅，让机身跟着音乐一起震
LRA (XYZ to LRA Converter) is a tool that processes tube bending data and converts it into LRA format with visualization support. This Python-based project aims to streamline the manufacturing workflow with capabilities such as profile loading, data conversion, and animation.
LRA firmware development for nano VNA, this firmware (UNOFFICIAL) solves some bugs in sampling with time > 2 hours
Published PDF outputs for Learning Real Analysis volumes
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