Stars
Official implementation of Neural Audio Fingerprint (ICASSP 2021)
A GPU accelerated and torch based audio DSP library
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
A treasure chest for visual classification and recognition powered by PaddlePaddle
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
A benchmark dataset for cover version identification.
Official repository for GraFPrint: an audio identification framework based on graph neural networks.
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
Wide Residual Networks (WideResNets) in PyTorch
3.8% and 18.3% on CIFAR-10 and CIFAR-100
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
A library for ML benchmarking. It's powerful.
PyTorch implementation of Contrastive Learning methods
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Semi-Supervised Contrastive Learning for music classification - towards HIL-representation learning.
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
ISMIR 2020 Tutorial for Metric Learning in MIR
A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio a…
Pytorch implementation of the xLSTM model by Beck et al. (2024)
Implementation of "Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs" in PyTorch
Official repository for the paper "Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs"