Fork of the Triton language and compiler for Windows support and easy installation

Collection of papers related to neural nets/machine learning for audio DSP.

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

Source code for paper "Hypernetworks build Implicit Neural Representations of Sounds" from ECML 2023

Tools for publishing transcripts for Claude Code sessions

Route LLM requests to the best model for the task at hand.

Collection of audio-focused loss functions in PyTorch

A Python system that generates C++/Eigen code for circuit models using the Nodal-DK Method

Framework for differentiable black-box and gray-box audio effects modeling

High performance C++ library for neural amp modeler (NAM) and other audio network models

Browser-based tonestack calculator

Supplementary material for the DAFx23 paper Neural Grey-Box Guitar Amplifier Modelling with Limited Data.

Efficient neural networks for analog audio effect modeling

Multi Knob Neural Network Emulator For Guitar Amplifiers

Go MCP server for HMLR hierarchical memory system with semantic search

Estimating Koren' triode parameters with Python

The Python code for vacuum tube models: takes a datasheet image of the graphical dependence of anode current on anode-cathode voltage at different grid voltages and returns the parameters of the Ko…

Qucs-S is a circuit simulation program with Qt-based GUI

VIOLA: A Framework for the Automatic Generation of Virtual Analog Audio Plug-ins based on Wave Digital Filters

An agentic skills framework & software development methodology that works.

Dattorro Reverb in WebAudio AudioWorklet

Pure Data reverb abstraction based on "Simplified plate-class reverberation topology in the style of Griesinger" by Jon Dattorro.

Cheatsheets for AI and Machine Learning