dhockaday Goto Github PK
Name: David Hockaday
Type: User
Location: San Francisco/New York
Name: David Hockaday
Type: User
Location: San Francisco/New York
Transcribe music into lead sheets!
Python parser and tools for MUSDB18 Music Separation Dataset
A Python module for finding the prototype in large sets of time series
Simple Pooling Front-ends for Efficient Audio Calssification
Training code and trained checkpoints for ASGAN.
SincNet is a neural architecture for efficiently processing raw audio samples.
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn
A scikit-learn compatible neural network library that wraps PyTorch
A unified framework for machine learning with time series
Build smart playlists, based on tracks' audio analysis, and other parameters. Filter newest tracks, that go together well in a DJ set.
Mixed graph Laplacian upscaling and solvers
Sound analysis/synthesis tools for music applications
Full-stack song recognition application with audio fingerprinting and hum to search (QbSH) modules
An algorithm implemented for a smooth flow of two songs (research paper http://ismir2009.ismir.net/proceedings/PS1-14.pdf )
TensorFlow-based neural network library
A neural network for end-to-end music source separation
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
:sound: spafe: Simplified Python Audio Features Extraction
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
Sparse Random Mode Decomposition
Heart Sound Classification
SpectroMap is a peak detection algorithm that computes the constellation map for a given signal
[ICLR 2022] Huber Additive Models for Non-stationary Time Series Analysis
Deezer source separation library including pretrained models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.