JustinZhangz

JustinZhangz's Stars

• pyannote/pyannote-audio

  Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

  Language:Jupyter Notebook6.6k731k804

• yu4u/noise2noise

  An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

  Language:Python1.1k4550237

• SuperBruceJia/EEG-DL

  A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

  Language:Python9832225226

• hazdzz/STGCN

  The PyTorch implementation of STGCN.

  Language:Python513623111

• shchur/gnn-benchmark

  Framework for evaluating Graph Neural Network models on semi-supervised node classification task

  Language:Python45761573

• fabian-beck/survis

  Visual Literature Database

  Language:JavaScript175721116

• sstober/openmiir

  a public domain dataset of EEG recordings for music imagery information retrieval

  Language:Jupyter Notebook17114336

• Evgeneus/Graph-Domain-Adaptaion

  PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

  Language:Python1023618

• youngeun1209/NeuroTalk

  Language:Python47696

• yongsongH/Infrared_Image_SR_Survey

  We are updating the information and adjusting the pages on this code! If you want to provide some good papers, please send us on the issues! Hope that we can provide some intreseting works for the infrared image super- resolution!

  38324

• Junseok0207/GraFN

  The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment"

  Language:Python25100

• potpov/New-Maxillo-Dataset-Segmentation

  Source code for the paper: "Deep Segmentation of the Mandibular Canal: a New 3D Annotated Dataset of CBCT Volumes.", IEEE Access

  Language:Python24125

• yoavz/transfer-learning-keras

  Transfer learning with keras on computer vision datasets

  Language:Python17315

• MathieuLaksh/eeg_epilepsy_conv1d

  Language:Jupyter Notebook9206

• robertofranceschi/Image-classification-techniques

  Comparison CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation applied and compared results with the training from scratch.

  Language:Jupyter Notebook7201

• rohan-paul/Image_Segmentation-for-Intestine-Cancer-TensorFlow-UW-Madison-Kaggle-Competition

  Code for The UW Madison Kaggle Competition - Segmenting intestine and stomach for Cancer patients with TensorFlow

  Language:Jupyter Notebook3

• Mbaey/Python

  放学习的代码

  Language:HTML2100

• mjpekala/maxfun-experiment

  An empirical study comparing MAXFUN to other feature pooling techniques.

  Language:MATLAB2201

• Nervium/Epileptic-Seizure-Detection

  EEG Feature Extraction and ML Model Training

  Language:Python20

• XiXiRuPan/EEG2SpeechEnvelope-SDN-Net

  Language:Python2100