Name: Wenchao QI
Type: User
Company: Aerospace Information Research Institute, Chinese Academy of Sciences
Bio: Assistant Researcher at AIR, CAS, China. I'm mainly engaged in deep learning in Hyperspectral Computer Vision.
Location: No. 20, Datun Road, Chaoyang District, Beijing, China
Wenchao QI's Projects
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)
Data competition Top Solution 数据竞赛top解决方案开源整理
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
数据科学的笔记以及资料搜集
HSI and LiDAR image fusion based on Deep Learning
Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification
Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels
An implementation of a MCMC with MH within Gibbs for the estimation and non-parametric deconvolution of galactic kinematics from hyperspectral data cubes.
deep learning for image processing including classification and object-detection etc.
Deep Learning Illustrated (2019)
Keras code and weights files for popular deep learning models.
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning with PyTorch, published by Packt
本仓库将PyTorch官方书籍《Deep learning with PyTorch》(基本摘录版)翻译成中文版并给出可运行的相关代码。
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
:satellite: Organized Resources for Deep Learning Researchers and Developers
Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.
Mou et al., Deep Recurrent Neural Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 55(7), 3639-3655, 2017.
Deep learning toolbox based on PyTorch for hyperspectral data classification.
DeeplabV2 segmentation in Keras.
使用Keras实现deeplabv3+,用于语义分割。
使用deeplab_v3模型对遥感图像进行分割
使用自己的数据集retraining DeeplabV3+
深度学习相关教程
Python for “Deep Learning”,《深度学习》(花书) 数学推导、原理剖析与代码实现