lodsb
Follow
Stars
SpectrumWorx - the ultimate sound mangler (VST/AU).
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
This library contains a set of functions representing domain-limited versions of all Faust primitives and math functions that can potentially generate INF or NaN values. The goal of the library is …
Perceptual Musical Similarity Metric Learning with Graph Neural Networks
Python implementation of " Antiderivative Antialiasing for Arbitrary Waveform Generation" IEEE research paper
LYGIA, it's a granular and multi-language (GLSL, HLSL, WGSL, MSL and CUDA) shader library designed for performance and flexibility
A C++ compile-time math library using generalized constant expressions
Convert any music library into a music production sample-library with ML
Interactive, thoroughly customizable maps in native Android, iOS, macOS, Node.js, and Qt applications, powered by vector tiles and OpenGL
A bounded single-producer single-consumer wait-free and lock-free queue written in C++11
data compression library for embedded/real-time systems
A simple notebook demonstrating prompt-based music generation via Mubert API
C++ and MATLAB code for fast and accurate fundamental frequency estimation
autocorrelation-based O(NlogN) pitch detection
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
Sound analysis/synthesis tools for music applications
An implementation of audio source separation tools.
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
xi correlation method adapted for python
Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch
Fast, differentiable sorting and ranking in PyTorch
Audio convolution algorithm in C++ for real time audio processing
Pitch detection and pitch tracking, voicing unvoicing detection (VAD)，基音检测
Source code from the book "The Computational Beauty of Nature"