remyhuang's Stars
affige/DeepMIR
Teaching material for the course "Deep Learning for Music Analysis and Generation" I taught at National Taiwan University (2023 Fall)
salu133445/arranger
Official Implementation of "Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music" (ISMIR 2021)
jupyterlab/jupyterlab
JupyterLab computational environment.
p-lambda/jukemir
Perform transfer learning for MIR using Jukebox!
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
markyun/markyun
在Github的学习片段
keunwoochoi/magnatagatune-list
List of automatic music tagging research articles that are evaluated against MagnaTagATune Dataset
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
lucidrains/mlp-mixer-pytorch
An All-MLP solution for Vision, from Google AI
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
minzwon/data-driven-harmonic-filters
jayg996/BTC-ISMIR19
"A Bi-Directional Transformer for Musical Chord Recognition" accepted on ISMIR2019
YatingMusic/compound-word-transformer
Official implementation of compound word transformer (AAAI'21)
laekov/fastmoe
A fast MoE impl for PyTorch
google-research/leaf-audio
LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.
openai/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
WeiChengTseng/Pytorch-PCGrad
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
tianheyu927/PCGrad
Code for "Gradient Surgery for Multi-Task Learning"
isl-org/MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
lorenmt/mtan
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
hav4ik/Hydra
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
CubiCasa/CubiCasa5k
CubiCasa5k floor plan dataset
yaringal/multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
sunxm2357/AdaShare
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
KrishnaDN/Attentive-Statistics-Pooling-for-Deep-Speaker-Embedding
Implementation of the paper "Attentive Statistics Pooling for Deep Speaker Embedding" in Pytorch
Music-and-Culture-Technology-Lab/omnizart
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
microsoft/playwright-python
Python version of the Playwright testing and automation library.
csteinmetz1/auraloss
Collection of audio-focused loss functions in PyTorch