zhanghaobo-666

zhanghaobo-666's Stars

• HuCaoFighting/Swin-Unet

  [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

  Language:Python1.6k298

• claudiodsf/stockwell

  Stockwell transform for Python

  Language:Python7824

• yonigottesman/ecg_vit

  1D vision transformer (vit) for ecg interpretable classification

  Language:Python302

• liguge/1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis

  智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis

  Language:Python8414

• obi-ml-public/ECG-LV-Dysfunction

  Model to detect LV disfunction from ECG

  Language:Python2

• dkozlov/awesome-knowledge-distillation

  Awesome Knowledge Distillation

  3.4k487

• benathi/fastswa-semi-sup

  Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

  Language:Shell18534

• LeapLabTHU/ACmix

  Official repository of ACmix (CVPR2022)

  Language:Python38041

• SYFYN0317/-MAHiDFNet

  Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data

  Language:Python306

• CyberZHG/keras-multi-head

  A wrapper layer for stacking layers horizontally

  Language:Python22753

• TransylvanianInstituteOfNeuroscience/Superlets

  Language:MATLAB8026

• mathworks/physionet_ECG_data

  This repository contains human electrocardiogram data (ECG) data used in Wavelet Toolbox machine and deep learning examples

  4829

• kymatio/kymatio

  Wavelet scattering transforms in Python with GPU acceleration

  Language:Python737138

• mathworks/deep-learning-for-time-series-data

  The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

  178

• Aolibaba/ecg_pcg_ga

  Language:Python51

• trichter/polycoherence

  Calculate bicoherence, bispectrum, polycoherence and polyspectrum

  Language:Python4613

• TropComplique/knowledge-distillation-keras

  A machine learning experiment

  Language:Jupyter Notebook18252

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.4k335

• yandexdataschool/roc_comparison

  The fast version of DeLong's method for computing the covariance of unadjusted AUC.

  Language:Python13339

• alexisbcook/ResNetCAM-keras

  Keras implementation of a ResNet-CAM model

  Language:Python280101

• scipy/scipy

  SciPy library main repository

  Language:Python12.7k5.1k

• fupiao1998/res2net-keras

  Keras implementation of a res2net module with tf banckend

  Language:Python1610

• Res2Net/Res2Net-PretrainedModels

  (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

  Language:Python1.1k213

• grayddq/GScan

  本程序旨在为安全应急响应人员对Linux主机排查时提供便利，实现主机侧Checklist的自动全面化检测，根据检测结果自动数据聚合，进行黑客攻击路径溯源。

  Language:Python2.6k610

• liuzhuang13/DenseNet

  Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

  Language:Lua4.7k1.1k

• extreme-assistant/ICCV2023-Paper-Code-Interpretation

  ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

  2.3k1.4k

• kadiliissaar/DeePhase

  DeePhase predictor of homotypic liquid-liquid phase separation of proteins & the code associated with the paper "Learning the molecular grammar of protein condensates from sequence determinants and embeddings" (Saar et al., 2021, PNAS)

  Language:Jupyter Notebook115

• PaddlePaddle/PaddleSpeech

  Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

  Language:Python10.6k1.8k

• faustomorales/vit-keras

  Keras implementation of ViT (Vision Transformer)

  Language:Python32978

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.1k3.2k