Xion Lee's repositories
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
acm-pytorch
The implement of paper "Asymmetric Contextual Modulation for Infrared Small Target Detection" in Pytorch
ASTRiDE
AUTOMATED STREAK DETECTION FOR ASTRONOMICAL IMAGES
Astronomical_Target_Detection
This repository was created for the paper "Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes"
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
deeplearning.ai
deeplearning.ai课程课后习题
HDR_Toolbox
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Machine-Learning-Notes
周志华《机器学习》手推笔记
machine_learning_beginner
机器学习初学者公众号作品
open-acm
code and trained models for "Asymmetric Contextual Modulation for Infrared Small Target Detection"
opencv
Open Source Computer Vision Library
ProfessorShare_Website
大三下软件分析课程大作业
PyCIS
Python Computational Inference from Structure
RotationDetection
This is a tensorflow-based rotation detection benchmark, also called UranusDet.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
Switch-UART-Controller-Tools
Starting point and tools for custom controller programs for the Nintendo Switch
Tello-Python
This is a collection of python modules that interact with the Ryze Tello drone.
Training-Code-of-STM
Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
VMD
根据单个或多个宽频偶数长度电磁信号，根据VMD计算分量数据，展示含噪曲线、去噪曲线、分量时域、分量频谱、多测道曲线的图形绘制和数据生成。实现单条信号的独立运算，多条信号可选参数的独立运算并实现合并。 源码中包含一组测试数据，结果与matlab一致。
zi2zi
Learning Chinese Character style with conditional GAN