dhockaday Goto Github PK
Name: David Hockaday
Type: User
Location: San Francisco/New York
Name: David Hockaday
Type: User
Location: San Francisco/New York
Code for pre-print "Measuring dissimilarity with diffeomorphism invariance" (2022)
Expressive diffeomorphic transformations based on the closed-form integration of continuous piecewise affine velocity functions.
Fundamental continuous and discrete-time signals and their implementations using Matrix laboratory
Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
disentanglement_lib is an open-source library for research on learning disentangled representations.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
DJ Mix Ground Truth Extraction Software
convert files to pioneer-compatible format
Code for "A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment" ISMIR 2020
Libraries for reading, writing and converting media library information between different DJ Software applications.
Tools I use to DJ
Tools for managing my DJ library
"Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks", ICASSP 2022
"Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks", ICASSP 2022 (Data Generation Pipeline)
Deep Learning for Time Series Classification
Neural Network optimizer for DLD design
The accompanying code for "Simplifying and Understanding State Space Models with Diagonal Linear RNNs" (Ankit Gupta, Harsh Mehta, Jonathan Berant).
JAX-based neural network library
Code for running experiments in our ISMIR'21 paper titled: "Is Disentanglement enough? On Latent Representations for Controllable Music Generation"
Dataset to study disentanglement in the context of symbolic music. Published as an ISMIR'20 paper titled: "dMelodies: A Music Dataset for Disentanglement Learning"
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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.