Ma, Xiaochen's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
the files of lesson "An introduction to deep neural networks" of Sichuan University.
博客后台的基本的配置文件备份
Resolves severe noise in the widely spread CASIA2.0 dataset ground-truth for Image Manipulation Detection
基于Pytorch实现的VGG11和VGG16网络结构的CIFAR10分类任务。
快速入门CMake,通过例程学习语法。在线阅读地址:https://sfumecjf.github.io/cmake-examples-Chinese/
四川大学 编译原理 课程设计。CMinus Compiler repo, including a lexer and a parser.
基于java的**象棋,带有截图工具,由IDEA开发
Workspace for developing the teaching matertial of porgramming language covariant script.
An VUE+FLASK project
注视点稳定性检测任务——基于Pygame实现的监测“视频”,用于探查受试者是否可以集中注意力而不受干扰。
A repo for pytroch implementation with GAN model on MNIST handwritten digits database
A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。国内访问:http://blinkfox.com
A comprehensive benchmark & codebase for Image manipulation detection/localization.
Corrections of resolution issue for common image manipulation localization datasets. (CASIA, Coverage, IMD2020)
Official repository of paper “IML-ViT: Benchmarking Image manipulation localization by Vision Transformer”
基于Pytorch复现的Yann LeCun大佬于1998年提出的LeNet5模型。
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features
Unofficial implementation of ManTra-Net (CVPR 2019) with Pytorch including training code. The original paper is a model implemented by keras-Tensorflow
Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch
Unofficial pytorch implementation of miSRGAN, in paper "3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction"
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Awesome Remote Sensing Toolkit based on PaddlePaddle.
A test times augmentation toolkit based on paddle2.0.
李宏毅(Hung-yi Lee)机器学习 ML Lecture 17: Pokemon Creation 宝可梦生成任务。基于单层LSTM的PixelRNN实现。