Stars
Repository to share the MATLAB implementation of beam multiply and sum beamforming for plane wave ultrasound imaging.
The code about “LABNet: A Lightweight Attentive Beamforming Network for Ad-hoc Multichannel Microphone Invariant Real-Time Speech Enhancement”
unofficial PyTorch implementation of 《A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement》
A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.
Simulation code for "X. Wu, Y. Cai, M. Zhao, R. C. de Lamare and B. Champagne, "Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming," in IEEE Transactions on Aerospace and …
SOTA Semantic Segmentation Models in PyTorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch
A fast, differentiable, JIT-free, debugging-friendly finite element library for PyTorch.
High-Resolution Source Localization Exploiting the Sparsity of the Beamforming Map
Several Classic Acoustic Imaging Methods, such as DAS, MUSIC, DAMAS, CLEAN-PSF, CLEAN-SC, and FFT-NNLS...
Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming
Source codes for paper "Faster FISTA" and "Improving FISTA: Faster, Smarter and Greedier''
分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。
Open-Source Implementation of Several Fast-Fourier Beamformers for Pulse-Echo Ultrasound Imaging
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM
A collection of loss functions for medical image segmentation
This Repository is implementation of majority of Semantic Segmentation Loss Functions
Beamforming with the Constant Modulus Algorithm
Now, Stronger AI Pushes Frontiers, Stronger Our Shared Future.
A generic Fourier beamformer based on the cross-correlation of transmitted and received wavefields