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aadcl

PyTorch implementation of the paper "Semi-Supervised Acoustic Anomaly Detection via Contrastive Learning"

acal-pytorch

pytorch 1.0 implementation for "augmented cyclic adversarial learning for low resource domain adaptation"

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark".

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-active-learning

Hope you can find everything you need about active learning in this repository.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-speech-enhancement

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

awesome-speech-enhancement-1

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

awesome-speech-enhancement-2

speech enhancement\speech seperation\sound source localization

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

bearing-fault-detection-using-deep-learning-approach

Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different parameters and 4 different fault classes, to select optimum parameters for efficient classification. Trained and tested 50 different datasets on different Image-net models to obtain maximum accuracy. Obtained an accuracy of 98% for Binary classification of Inner and Outer race faults on Efficient Net B7 model on just 5 epochs.

club

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

cocl

Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)

crossformer

The official code for the paper: https://arxiv.org/pdf/2108.00154.pdf

d-sne-pytorch

A PyTorch port of the existing MXNet implementation for the 2019 CVPR paper "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding."

dage

Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]

dagmm-pytorch

dance

repository for Universal Domain Adaptation through Self-supervision

dcase2020_task2_baseline

DCASE2020 Challenge Task 2 baseline system

dcase2020_workshop

dcase2021_task2_baseline_mobile_net_v2

MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.

dcase2022_task2_baseline_ae

dcase2022_task2_baseline_mobile_net_v2

dcase2023_task2_baseline_ae

dcase_task2_uminho

deep-acoustic-analysis

dereverberate

An implementation of a sound dereverberation algorithm by Gilbert Soulodre

dereverberation-and-denoising

MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques

dev-dnn_cirm

Implementation of the paper 'Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising'