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allosaurus

Allosaurus is a pretrained universal phone recognizer for more than 2000 languages

audio-text_retrieval-xinhaomei

Implementation of our paper 'On Metric Learning For Audio-Text Cross-Modal Retrieval'

audioset-convnext-inf

Adapting a ConvNeXt model to audio classification on AudioSet

beam_search

Beam search for neural network sequence to sequence (encoder-decoder) models.

bird_audio_detection_challenge

DenseNets for the detection of singing birds in audio files

compare2021_prs

Pytorch code for the Compare 2021 Interspeech challenge (primates call classification)

dataflowr

code for deep learning courses

dcase19-rcnn-task4

RCNN for the DCASE 2019 sound event detection task

dcase2017_task4_cvssp

code for our 1st prize system to win the DCASE2017 task4 challenge

deep-co-training-for-semi-supervised-image-recognition

Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'

demo-zca

PCA and ZCA whitening on a dummy set of 2-d points

emomusic

Frame-based regression of valence and arousal in music samples with RNNs

fairseq_severin

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

generativemusicaicourse

Resources for the Generative Music AI Course on The Sound of AI YouTube channel.

goodness-of-pronunciation-htk

Phone-level evaluation of L2 speakers (GOP algorithm)

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

ijcnn19_submission

IJCNN'19: Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection

interspeech19_tutorial

Interspeech 2019 tutorial materials

intro_ml_notebooks

Python notebooks in Machine Learning

irit-audio-retrieval-system-dcase2022

Language-based audio retrieval system for DCASE 2022 Task 6b

keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

keras-sincnet

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

listen-attend-tell

Audio captioning system based on LAS, used in the DCASE2020 challenge

machine_learning_basics

Plain python implementations of basic machine learning algorithms

ml1

mmaml-classification

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

mml-companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

my-audio-retrieval-dcase2022

Language-based audio retrieval system for DCASE 2022