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dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

eemd-project

This is a MATLAB project which can calculate EMD/EEMD

emd-denoising

A report on Empirical Mode Decomposition algorithm and its denoising/detrending application.

espnet

End-to-End Speech Processing Toolkit

few-shot-domain-adaptation-by-causal-mechanism-transfer

Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)

flows4flows

gpt_academic

为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。

igmm

Incremental Learning of Gaussian Mixture Models (IGMM)

iitbtcsgui

image2reverb

[ICCV 2021] Image2Reverb: Cross-Model Reverb Impulse Response Synthesis.

layerwise-relevance-propagation

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

layerwise_relevance_propagation

Layer-wise Relevance Propagation

liac

LIAC Python Tools for Machine Learning and Scientific Computing

m-ada

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

magenta

Magenta: Music and Art Generation with Machine Intelligence

mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

myblog

neural-speech-dereverberation

Machine and Deep Learning models for speech dereverberation

ocsvm-anomaly-detection

anomaly detection by one-class SVM

phasen-pytorch

pytorch-dagmm

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

ramp

The core code released for the paper named "Robust Anomalous Sound Detection for Cyclostationary Rotating Equipment Based on Mechanical Sound Extraction and Model Pre-training“.

rapp

Novelty Detection with Reconstruction along Projection Pathway

rdl-se

Deep Residual-Dense Lattice Network for Speech Enhancement

resources

reverberation_learning_python

Reverberation Deep Learning Toolbox for Python - Keras

sddnet

Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS of first stage is 3.42 and second stage is 3.47.

signal_denoising_using_wavelet_transform

In our project we are proposing a real time de-noising algorithm for audio signals based on the Wavelet Transform. White noise is omnipresent in the spectrum and is thus especially hard to filter. We use the locality of the wavelet function to single out the frequency domains of the signal itself and thereby able to de-noise it. Perfect denoising is not easy, the higher the threshold coefficient is set, the more the noise is detected, but the more the original signal is affected as well. We have implemented a flexible framework for denoising that includes hard and soft thresholding and different Wavelet Transforms. The presented de-noising algorithm is a comparative study of four different Wavelets and two Thresholds.

signalprocessing

signal processing related material and code