Pytorch port of Google Research's VGGish model used for extracting audio features.
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Updated
Nov 3, 2021 - Python
Pytorch port of Google Research's VGGish model used for extracting audio features.
Audio classification with VGGish as feature extractor in TensorFlow
Unofficial Implementation of Google Deepmind's paper `Objects that Sound`
Sound augmentation using Large-scale audio dataset (Audioset)
Machine learning model for bird songs recognition
A library for audio self-supervised learning
Spoken Language Identification on Common Voice and AudioSet using Deep Learning
Unofficial implementation of "Objects that Sound" from ECCV 2018.
Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural Networks (RNNs) inspired by Progressive network architecture.
Repo accompanying the blog post "How to Deploy A State-of-the-art PyTorch Model to iOS via Core ML (Part 3)".
Official project page of CrissCross - AAAI 2023
Repo accompanying the blog post "How to Deploy PyTorch Models with Core ML Conversion Issues"
AudioSet classification using RNN
Codebase for Imperial MSc AI Individual Project - Self-Supervised Learning for Audio Inference
Query service to serve the JibJib TensorFlow model
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