ytangay

ytangay's Stars

• DataExpert-io/data-engineer-handbook

  This is a repo with links to everything you'd ever want to learn about data engineering

  Language:Jupyter Notebook22.8k3.9k

• jingyao16/ExViT

  Language:Python275

• birgander2/PyRAT

  General purpose Synthetic Aperture Radar (SAR) postprocessing software package

  Language:Python19448

• raktim-ghosh/poldecomp

  Polarimetric Synthetic Aperture Radar (PolSAR) Decomposition Modelling

  Language:Python3211

• zjxi/PolSAR-Freeman-Algorithm

  An implementation of the Freeman(Three-Component Scattering) Algorithm for Polarimetric SAR Data

  Language:MATLAB135

• Alien9427/DSN

  Deep SAR-Net implementation

  Language:Python331

• Jowekk/SAR-Image-Recognition

  This is a CNN for Polarimetric SAR Image Classification

  Language:Python3212

• puru19962001/Automatic-Target-Classification-In-SAR-Images-Using-Convolutional-Neural-Networks

  SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.

  Language:Python4114

• jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

  A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

  42267

• NEGU93/CVNN-PolSAR

  Core code for simulations used for most of my publications

  Language:Python175

• NEGU93/polsar_cvnn

  PolSAR classification / segmentation using complex-valued neural networks.

  Language:Python163

• CoDeReD72/ToDoList-App

  To-Do List App used as a method of learning to work with Swift and xCode Development

  Language:Swift1

• GPT-language/Using-ChatGPT-to-Learn-Programming

  "Learn how to use ChatGPT to enhance your learning of Programming

  1355

• ts4f/R-tree

  R-tree implementation , STR bulk loading

  Language:Python22

• zmike1993/hello-world

  my world

  44452

• KevynUtopia/2020-Fall-Summary

  Language:Jupyter Notebook2

• ilovexjp/health-code-index

  健康码模拟 - 索引

  Language:HTML2.1k282

• AwesomeVisa/awesome-immigration

  An Awesome list of long-term visas

  1.4k73

• chinyichun/programthinkmirror

  Language:HTML4914

• fuck-xuexiqiangguo/Fuck-XueXiQiangGuo

  学习强国 懒人刷分工具 自动学习

  8.3k1.8k

• duty-machine/duty-machine

  一个备份网络文章的服务。声援陈玫、蔡伟及其女友小唐，请关注端点星事件。

  516108

• deeppavlov/ner

  Named Entity Recognition

  Language:Python33163

• Terminus2049/Terminus2049.github.io

  No more 404

  Language:CSS1.8k345

• vikmreddy/deep-air

  Predicting Air Pollution in Beijing, China using Deep Neural Nets

  Language:Jupyter Notebook6130

• browatbn2/3FabRec

  3FabRec: Fast Few-shot Face alignment by Reconstruction - PyTorch implementation

  Language:Python12719

• glnmario/emo2vec

  Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings

  Language:Python21

• cysmith/neural-style-tf

  TensorFlow (Python API) implementation of Neural Style

  Language:Python3.1k827

• 623637646/996.Leave

  逃离996

  6.3k370

• phychaos/dssm-lstm

  The LSTM-DSSM model refering to the paper: Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

  Language:Python1

• jaddoughman/Artist-Identification-CNN

  This project tackles the issue of artist identification from paintings. The aim is to accurately identify the artist of a painting using transfer learning by training different Convolutional Neural Networks (CNNs) with varying Residual Networks (ResNet).

  Language:Jupyter Notebook51