zzb-nice

zzb-nice's Stars

• jijunkai/Transformer_Music

  Language:Jupyter Notebook101

• cvxr/CVX

  A MATLAB system for disciplined convex programming

  Language:MATLAB23886

• shihaoli888/bspline

  zju cg homework bspline

  Language:C196

• ge99210/DeepNetworks-for-DoA-estimation-in-low-SNR

  Language:MATLAB184

• jinbochen0823/RCG2ECG

  211

• tyl-stu/Compressed-sensing-code

  自己搜集和改写的压缩感知相关程序代码

  Language:MATLAB11025

• jianzhangcs/ISTA-Net

  ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (Tensorflow Code)

  Language:Python13141

• kastur/ECGCS

  ecg compressed sensing

  Language:C3322

• ngcthuong/Reproducible-Deep-Compressive-Sensing

  Collection of reproducible deep learning for compressive sensing

  659156

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML32.2k10.6k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.1k1.4k

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python4.1k361

• DI-HGR/cross_domain_gesture_dataset

  10

• morriswmz/doa-tools

  A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.

  Language:Matlab30390

• dengjunquan/DoA-Estimation-MUSIC-ESPRIT

  Direction of Arrival Estimation using MUSIC and ESPRIT Algorithms in Python

  Language:Python11728

• wavefrontshaping/complexPyTorch

  A high-level toolbox for using complex valued neural networks in PyTorch

  Language:Python636150

• AdilBaaj/unsupervised-image-retrieval

  Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder

  Language:Python4822

• ToniCreswell/ConvolutionalAutoEncoder

  A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example

  Language:Python195

• kkkls/FFTformer

  [CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring

  Language:Python25618

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.8k1.4k

• msracver/Deformable-ConvNets

  Deformable Convolutional Networks

  Language:Python4.1k957

• yangwohenmai/LSTM

  基于LSTM的时间序列预测研究

  Language:Python2.8k704

• Asixa/RF-Genesis

  RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis and Generative Diffusion Models (SenSys'23)

  Language:Python584

• maggie0830/DCCRN

  implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

  18331

• ChihebTrabelsi/deep_complex_networks

  Implementation related to the Deep Complex Networks

  Language:Python737280

• formazione/Azure-ttk-theme

  Azure theme is a beautiful and modern theme for ttk

  Language:Tcl3318

• shmueldo/DeepCNNDoA

  This repository implements the model which presented in "Deep Networks for direction of arrival estimation in low snr" paper, IEEE 2021. An additional improvement for this work is added, in the form of spatial smoothing pre-processing technique.

  Language:Python8

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python9k1.4k

• kurolz/Books

  运维之道

  Language:Python610359

• leftthomas/MoCo

  A PyTorch implementation of MoCo based on CVPR 2020 paper "Momentum Contrast for Unsupervised Visual Representation Learning"

  Language:Python5011