Alternatives and similar repositories for attentional-similarity

Users that are interested in attentional-similarity are comparing it to the libraries listed below

• ssrp / SubSpectralNet-PyTorch
  PyTorch Implementation of SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification, a…
  ☆22Updated 6 years ago
• edufonseca / uclser20
  Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.
  ☆93Updated 3 years ago
• qiuqiangkong / dcase2019_task1
  ☆20Updated 6 years ago
• CHeggan / MetaAudio-A-Few-Shot-Audio-Classification-Benchmark
  A new comprehensive and diverse few-shot acoustic classification benchmark.
  ☆65Updated last year
• emilywg / DCASE2020-Task1
  Jupyter notebook for DCASE 2020 challenge Task 1
  ☆20Updated 5 years ago
• bill317996 / Singer-identification-in-artist20
  Addressing the confounds of accompaniments in singer identification
  ☆18Updated 5 years ago
• yangdongchao / DCASE2021Task5
  The code for DCASE2021 task5 submission.
  ☆20Updated 3 years ago
• WangHelin1997 / GL-AT
  Pytorch implementation of the paper : A Global-local Attention Framework for Weakly Labelled Audio Tagging.
  ☆13Updated 4 years ago
• toni-heittola / dcase2019_task1_baseline
  DCASE2019 Challenge Task 1 baseline system
  ☆20Updated 6 years ago
• WangHelin1997 / DCASE-2020-Task1A-Code
  A pytorch implementation of the paper : Acoustic Scene Classification with Multiple Decision Schemes.
  ☆20Updated 5 years ago
• qiuqiangkong / sound_event_detection_dcase2017_task4
  ☆54Updated 5 years ago
• kkoutini / cpjku_dcase19
  CP-JKU submission to DCASE 19, performant single-model CNN
  ☆57Updated 5 years ago
• qiuqiangkong / dcase2019_task4
  ☆20Updated 6 years ago
• OSU-slatelab / mimic-enhance
  Speech enhancement using mimic loss
  ☆16Updated 6 years ago
• hearbenchmark / hear-baseline
  Simple baseline model for the HEAR benchmark
  ☆23Updated last month
• wangyu / rethink-audio-fsl
  Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)
  ☆43Updated 3 years ago
• toni-heittola / dcase2020_task1_baseline
  DCASE2020 Challenge Task 1 baseline system
  ☆25Updated 5 years ago
• kkoutini / cpjku_dcase20
  CP-JKU submission to DCASE 20
  ☆45Updated 4 years ago
• c4dm / dcase-few-shot-bioacoustic
  ☆60Updated last year
• denfed / leaf-audio-pytorch
  Pytorch port of Google Research's LEAF Audio paper
  ☆93Updated 4 years ago
• ChangLee0903 / SERIL
  Official Implementation of SERIL in Pytorch
  ☆27Updated 5 years ago
• Js-Mim / rl_singing_voice
  Unsupervised Representation Learning for Singing Voice Separation
  ☆22Updated 2 years ago
• CVxTz / COLA_pytorch
  COLA contrastive pre-training method implemented in PyTorch
  ☆43Updated 4 years ago
• lili-0805 / MVAE
  Official PyTorch implementation of MVAE for audio source separation
  ☆43Updated 3 years ago
• WangHelin1997 / AT-GCN
  Pytorch implementation of the paper : Modeling Label Dependencies for Audio Tagging with Graph Convolutional Network
  ☆13Updated 5 years ago
• haoheliu / DCASE_2022_Task_5
  System that ranks 2nd in DCASE 2022 Challenge Task 5: Few-shot Bioacoustic Event Detection
  ☆28Updated 3 years ago
• MihawkHu / DCASE2020_task1
  Code for DCASE 2020 task 1a and task 1b.
  ☆88Updated 3 years ago
• McDonnell-Research-Lab / DCASE2019-Task1
  Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths - McDonnell and Gao…
  ☆22Updated last year
• tqbl / ood_audio
  An audio classification system for learning with out-of-distribution data
  ☆33Updated 3 years ago
• dr-costas / SEDLM
  Language modelling for sound event detection
  ☆20Updated 6 years ago