Alternatives and similar repositories for BirdCLEF-Baseline

Users that are interested in BirdCLEF-Baseline are comparing it to the libraries listed below

• DCASE-REPO / bulbul_bird_detection_dcase2018
  Thomas Grill's "bulbul" bird audio detection system, adapted for DCASE 2018
  ☆32Updated 6 years ago
• kahst / BirdCLEF2017
  Source code of the TUCMI submission to BirdCLEF2017
  ☆41Updated 8 years ago
• edufonseca / FSD50K_baseline
  Baseline systems for the FSD50K dataset
  ☆69Updated 4 years ago
• topel / bird_audio_detection_challenge
  DenseNets for the detection of singing birds in audio files
  ☆18Updated 7 years ago
• jordipons / sklearn-audio-transfer-learning
  A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn
  ☆144Updated 2 years ago
• pfnet-research / meta-tasnet
  A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation
  ☆138Updated last year
• karolpiczak / paper-2015-esc-dataset
  ESC: Dataset for Environmental Sound Classification - paper replication data
  ☆79Updated 7 years ago
• DCASE-REPO / dcase_util
  A collection of utilities for Detection and Classification of Acoustic Scenes and Events
  ☆132Updated 5 months ago
• sharathadavanne / seld-dcase2019
  Benchmark for sound event localization task of DCASE 2019 challenge
  ☆77Updated 4 years ago
• kyungyunlee / sampleCNN-pytorch
  Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"
  ☆59Updated 2 years ago
• audeering / audtorch
  Utils and data sets for audio and PyTorch
  ☆86Updated 3 years ago
• marl / l3embedding
  Learn and L3 embedding from audio/video pairs
  ☆88Updated 3 years ago
• anuragkr90 / weak_feature_extractor
  ☆59Updated 7 years ago
• IBM / audioset-classification
  Train a Deep Learning model to classify audio embeddings on IBM's Deep Learning as a Service (DLaaS) platform - Watson Machine Learning
  ☆102Updated this week
• sigsep / sigsep-mus-2018
  SiSEC MUS 2018 Submission System
  ☆43Updated 6 years ago
• jordipons / neural-classifiers-with-few-audio
  Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274
  ☆60Updated 6 years ago
• edufonseca / icassp19
  Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"
  ☆98Updated 6 years ago
• daemon / pytorch-pcen
  PyTorch reimplementation of per-channel energy normalization for audio.
  ☆101Updated 6 years ago
• mil-tokyo / bc_learning_sound
  Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282
  ☆95Updated 7 years ago
• dr-costas / dnd-sed
  Sound event detection with depthwise separable and dilated convolutions.
  ☆53Updated 5 years ago
• karolpiczak / paper-2017-DCASE
  The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data
  ☆39Updated 7 years ago
• gabolsgabs / cunet
  Control mechanisms to the U-Net architecture for doing multiple source separation instruments
  ☆55Updated 5 years ago
• TUT-ARG / sed_vis
  Visualization toolbox for Sound Event Detection
  ☆123Updated last year
• DTaoo / VGGish
  An implementation of vggish in keras with tf backend
  ☆121Updated 4 years ago
• c4dm / dcase-few-shot-bioacoustic
  ☆59Updated last year
• ShichengChen / WaveUNet
  implement Wave-U-Net by pytorch
  ☆56Updated 6 years ago
• philipperemy / very-deep-convnets-raw-waveforms
  Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
  ☆74Updated 4 years ago
• TUT-ARG / sed_eval
  Evaluation toolbox for Sound Event Detection
  ☆156Updated last year
• CVxTz / COLA_pytorch
  COLA contrastive pre-training method implemented in PyTorch
  ☆43Updated 4 years ago
• f90 / AdversarialAudioSeparation
  Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
  ☆84Updated 6 years ago