wangyi120226

wangyi120226's Stars

• MuQiuJun-AI/bert4pytorch

  超轻量级bert的pytorch版本，大量中文注释，容易修改结构，持续更新

  Language:Python40568

• 96boards/documentation

  This repository hosts the documentation for 96Boards products and specifications.

  Language:C++464284

• Anaesthesiaye/sound_event_detection_transformer

  code for sound event detection transformer (SEDT) and self-supervised pre-training SEDT (SP-SEDT)

  Language:Python335

• ZhiyuanDang/NNM

  The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.

  Language:Python596

• wangxiaochaun/deep-audio-learning-note

  Persoanl notebook during study audio analysis

  Language:Jupyter Notebook82

• zhumeiqiBUPT/AM-GCN

  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

  Language:Python22146

• kouyongqi/DAEGC

  Deep Attention Embedding Graph Clustering(19IJCAI)

  Language:Python3111

• nttcslab/byol-a

  BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

  Language:Python20535

• descriptinc/lyrebird-wav2clip

  Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP

  Language:Python32428

• wvangansbeke/Unsupervised-Classification

  SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

  Language:Python1.4k267

• Armanfard-Lab/DCSS

  PyTorch implementation of DCSS: Deep Clustering with Self-supervision using Pairwise Data Similarities

  Language:Python248

• FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

  Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

  Language:Python26148

• asteroid-team/asteroid

  The PyTorch-based audio source separation toolkit for researchers

  Language:Python2.2k421

• wangyi120226/sigsep-mus-eval

  museval - source separation evaluation tools for python

  1

• pfnet-research/meta-tasnet

  A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation

  Language:Python13616

• SConsul/audio-source-separation

  PyTorch code to separate instruments from music using a low-latency neural network

  Language:Python4313

• sigsep/sigsep-mus-eval

  museval - source separation evaluation tools for python

  Language:Python19936

• yangdongchao/DCASE2021Task5

  The code for DCASE2021 task5 submission.

  Language:Python203

• yangdongchao/Target-sound-event-detection

  The source code for target sound detection

  Language:Python144

• c4dm/dcase-few-shot-bioacoustic

  Language:Python4836

• facebookresearch/deepcluster

  Deep Clustering for Unsupervised Learning of Visual Features

  Language:Python1.7k324

• TUT-ARG/sed_vis

  Visualization toolbox for Sound Event Detection

  Language:Python11430

• MaigoAkisame/cmu-thesis

  Code for Yun Wang's PhD Thesis: Polyphonic Sound Event Detection with Weak Labeling

  Language:Python16546

• matanle51/LSTM_AutoEncoder

  LSTM Auto-Encoder (LSTM-AE) implementation in Pytorch

  Language:Python627

• deu30303/RUC

  Language:Python14515

• SarthakYadav/fsd50k-pytorch

  Unofficial implementation of FSD50k baselines for Sound Event Recognition

  Language:Python226

• DavidBarbera/Few-Shot_Sound_Event_Detection_with_Prototypical_Neural_Networks

  A study in using metric-based Meta-Learning for Sound Event Detection

  Language:Python7

• Jungjee/DcaseNet

  Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, and sound event detection. Implemented using PyTorch.

  Language:Python407

• xavierfav/coala

  COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations

  Language:Python485

• xavierfav/freesound-python-tools

  python wrapper for freesound web API

  Language:Python85