dhockaday Goto Github PK
Name: David Hockaday
Type: User
Location: San Francisco/New York
Name: David Hockaday
Type: User
Location: San Francisco/New York
The official implementation of "TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music"
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Transformers at any scale
A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Multivariate time series forecasting on high-dimensional and sparse Uber movement speed data.
Harmonic track list maker based on the Camelot key system.
Convert a list of tracks with elapsed times to a cue sheet
Automatically detects many audio parameters, and notates a liquidaudio playlist accordingly
Packaging of audio files / stems.
Machine learning for transportation data imputation and prediction.
Transformers for modeling physical systems
Deep Learning for Audio and Music assignment: A vanilla transformer encoder that does Audio Drum Transcription (ADT) on the Groove Dataset and a VAE to generate synthetic training data
Transformer Groove Infilling implementation, part of my Master Thesis: Completing Audio Drum Loops with Transformer Neural Networks, under the supervision of Sergi Jordà and Behzad Haki at the Music Technology Group at the Universitat Pompeu Fabra (Barcelona).
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code for "Reverse-Engineering The Transition Regions of Real-World DJ Mixes using Sub-band Analysis with Convex Optimization" NIME 2021
A pytorch implementation of translation-invariant network using in music transcription.
tree is a library for working with nested data structures
[AAAI 2023] Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
A universal time series representation learning framework
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Automatic extraction of relevant features from time series:
Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
Tutorial covering Open Source tools for Source Separation.
2021 ISMIR tutorial - music classification
Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”.
Code to run statistical finite element method (statFEM) experiments with Langevin dynamics.
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.