- I'm currently working on the
Automatic Music Performance Assessment & Feedback
project at the C4DM.
mimbres Goto Github PK
Name: Sungkyun Chang
Type: User
Company: Centre for Digital Music, QMUL
Bio: ML for music and audio
Name: Sungkyun Chang
Type: User
Company: Centre for Digital Music, QMUL
Bio: ML for music and audio
Automatic Music Performance Assessment & Feedback
project at the C4DM.Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
Efficient solo-piano audio classification
A timeline of the latest AI models for audio generation, starting in 2023!
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
:flower_playing_cards: Standard and acceptable badges list
code snippets from my blog
Blessed is an easy, practical library for making python terminal apps
Repo for C4DM website
Cambridge-MT dataset auto-download & resampling.
pytorch implementation of lyre.ai's char2wav model
Finding label errors in datasets and learning with noisy labels.
An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
Customized DataLoader for multi label dataset classification-pytorch implementation
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Summaries and notes on Deep Learning research papers
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
A library for efficient similarity search and clustering of dense vectors.
A PyTorch implementation of fast-wavenet
Repository for few-shot learning machine learning projects
Implementation of FFTNet
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.