PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

iNaturalist competition details

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions

This is the repository for the BioCLIP model and the TreeOfLife-10M dataset [CVPR'24 Oral, Best Student Paper].

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

An unofficial implementation of MobileNetV4 in Pytorch

[ICML 2025] Official Implementation for SimDINO/SimDINOv2

Handwritten Text Recognition and Character Detection

Whitening for Self-Supervised Representation Learning | Official repository

This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)

A new comprehensive and diverse few-shot acoustic classification benchmark.

This repo contains the evaluation code for the INQUIRE benchmark

A benchmark dataset collection for bird sound classification

BioAcoustic Collection Pipeline

Repository of EEG-Simpleconv original paper

A Contrastive Learning Boost from Intermediate Pre-Trained Representations

High order Moment Models

A classification framework to enhance your habitat distribution models

AnuraSet: A dataset for classification of tropical anurans from passive acoustic monitoring

Official MATPAC implementation and trained model's weights

(INTERSPEECH 2024) Official Implementation of "BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification"

PyTorch, Android application code for lung sound classification