Name: Christian J. Steinmetz
Type: User
Company: @aim-qmul
Bio: Machine learning for Hi-Fi audio. PhD Researcher at C4DM.
Twitter: csteinmetz1
Location: London, UK
Blog: christiansteinmetz.com
I am an AI researcher leveraging machine learning for audio signal processing.
I am the developer of a number of audio and ML packages, such as dasp which implements our research in differentiable signal processing, auraloss for audio-focused loss functions, as well as pyloudnorm for simple measurement of perceptual loudness, and pymixconsole a headless DAW in Python.
See my website for more details, and please reach out if you have any questions, or just would like to chat about audio and ML.
aes-presenters-145th
Analysis of papers and presenters at the 145th AES Convention in NYC
aes-slides-145th
Slides for 145th AES MATLAB Student Plugin Competition
aes-stats-147th
Analysis of papers from the 147th AES Convention in NYC
ah-clark
Clark π€The Autonomous Air Hockey Robot
ai-audio-startups
Community list of startups working with AI in audio and music technology
allmusic-playlister
Save the complete album credits from an artist/engineer/producer to a Spotify playlist
amida
audio mixing interface for data acquisition
arte
generative artwork created with canvas-sketch
assemblyprogramming
Assignments from ECE 2730: Computer Organization Laboratory
audio-algebra
alchemy with embeddings
audiotechtalks-s19
Materials and associated code for audio technology talks at Clemson University - Spring 2019
auraloss
Collection of audio-focused loss functions in PyTorch
automaticmixingpapers
Important papers and associated code on automatic mixing research
automix-toolkit
Models and datasets for training deep learning automatic mixing models
auxcord
Sync Spotify accounts to build tailored playlists
bela-zlc
Zero-latency convolution on Bela platform
binaryclock
Arduino code for LED Binary Clock
c4dmpoole
cavae
Covert art variational autoencoder for generating new cover art
cinuosity
Novel playlist generation and music discovery in Spotify
computational-music-creativity
Materials for the Computational Music Creativity course at UPF-MTG (Spring 2020)
consynthance
Studying consonance as a result of vocal similarity
csteinmetz1
dasp-pytorch
Differentiable audio signal processors in PyTorch
ddsp
DDSP: Differentiable Digital Signal Processing
deepafx-st-dev
DeepAFx-ST - Style transfer of audio effects with differentiable signal processing. Please see https://csteinmetz1.github.io/DeepAFx-ST/
ev-sound-analysis
Analyzing audio from electric vehicles to determine FMVSS 141 compliance
fad_pytorch
Frechet Audio Distance evaluation in PyTorch
findio
The Spotify search you don't need and never wanted
floweq
Ξ²-VAE for intelligent control of a five band parametric EQ
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google β€οΈ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
