📦sdatkinson / NeuralAmpModelerCore
← 返回首页
Core DSP library for NAM plugins
⚖️ MIT📅 创建于 2023-03-18🔄 更新于 2026-10-01

📄 仓库 README

在 GitHub 查看 ↗
来自 GitHub 仓库自述文件 · 版权归原作者所有

NeuralAmpModelerCore

Build

Core C++ DSP library for NAM plugins.

For an example of how to use, see NeuralAmpModelerPlugin.

Included Tools

This repo includes a few helpful tools. For guidance on building them, have a look at the workflow provided in .github/workflows/build.yml.

  • run_tests, which runs a suite of unit tests.
  • loadmodel, which allows you to test loading a .nam file.
  • benchmodel, which allows you to test how quickly a model runs in real time. _Note: For more granular profiling tools, check out the main-profiling branch.

Sharp edges

This library uses Eigen to do the linear algebra routines that its neural networks require. Since these models hold their parameters as eigen object members, there is a risk with certain compilers and compiler optimizations that their memory is not aligned properly. This can be worked around by providing two preprocessor macros: EIGEN_MAX_ALIGN_BYTES 0 and EIGEN_DONT_VECTORIZE, though this will probably harm performance. See Structs Having Eigen Members for more information. This is being tracked as Issue 67.

Sponsors

Tone3000 logo

Development of version 0.4.0 of this library has been generously supported by TONE3000. Thank you!

📈 近 7 天 Star 趋势

每日新增 Star(柱)与累计 Star(线)· 数据来自 GitHub

🏆 排名变化趋势

在各榜单中的排名历史(数字越小越靠前)

📋 历史上榜记录

每次快照的详细数据
日期 榜单 排名 周期新增 总 STAR