weiqian1995

weiqian1995's Stars

• fly51fly/Principle-of-Web-Search

  北京邮电大学“网络搜索原理”课程资料(2019)

  Language:Jupyter Notebook19166

• fly51fly/Practical_Python_Programming

  北邮《Python编程与实践》课程资料

  Language:Jupyter Notebook737168

• fly51fly/aicoco

  “爱可可-爱生活”微博内容精选

  51263

• Vikki23/Demo_SSAL_SDP

  Demo for the proposed SSAL-SDP method, i.e., superpixel-based semisupervised active learning (SSAL) method with the density peak (DP) augmentation, for the hyperspectral image classification.

  Language:MATLAB178

• Vikki23/Demo_spectral_spatial_hyperspectral_classification

  This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

  Language:MATLAB6230

• iKintosh/GaborNet

  Language:Python10226

• shendu-sw/statistical-loss

  This repository is an extension of Caffe for the paper "Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification" (TNNLS).

  Language:C++51

• York1996OutLook/countWords

  统计论文们的单词数量

  Language:Python116

• weecology/DeepTreeAttention

  Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction

  Language:Python11939

• UniLauX/PALNet

  Code and Data for "Depth Based Semantic Scene Completion with Position Importance Aware Loss", ICRA2020 and RAL

  Language:Python415

• okankop/Efficient-3DCNNs

  PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

  Language:Python765150

• lanpa/tensorboardX

  tensorboard for pytorch (and chainer, mxnet, numpy, ...)

  Language:Python7.9k865

• laurayuzheng/doc-graph

  Project for NASA internship, summer 2019. Goal is to perform text analysis on published documents and be able to construct and visualize a network from relationships between publications.

  Language:Jupyter Notebook2