SunnyHaze/VAE-Pokemon-Creation

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SunnyHaze/VAE-Pokemon-Creation

SunnyHaze

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使用VAE生成宝可梦，李宏毅机器学习。

IML-ViT

Official repository of paper “IML-ViT: Benchmarking Image manipulation localization by Vision Transformer”

Jupyter Notebook

scu-thesis-template

四川大学本科毕业论文word模板及常见要求

CASIA2.0-Corrected-Groundtruth

Resolves severe noise in the widely spread CASIA2.0 dataset ground-truth for Image Manipulation Detection

ManTraNet-Pytorch

Unofficial implementation of ManTra-Net (CVPR 2019) with Pytorch including training code. The original paper is a model implemented by keras-Tensorflow

SCU_OAA-website-Captcha-training-set

四川大学JWC网站验证码10000张及对应标签数据集，可用于深度学习模型构建。Captcha tranning set for Website of the Office of Academic affair of Sichuan University.

IML-Dataset-Corrections

Corrections of resolution issue for common image manipulation localization datasets. (CASIA, Coverage, IMD2020)

miSRGAN-pytorch

Unofficial pytorch implementation of miSRGAN, in paper "3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction"

LeNet5-MNIST-Pytorch

基于Pytorch复现的Yann LeCun大佬于1998年提出的LeNet5模型。

SCU-Captcha

SCU JWC验证码识别模型，基于Pytorch，已经发布于PYPI。

PVZ_GAME_BY_EasyX

利用EasyX写的植物大战僵尸游戏，基于C++进行了封装

CIFAR10-VGG-Pytorch

基于Pytorch实现的VGG11和VGG16网络结构的CIFAR10分类任务。

CMinus-Lexer-Parser

四川大学编译原理课程设计。CMinus Compiler repo, including a lexer and a parser.

Stanford-CS224N-NLP

A repo for resources of the Stanford CS224N 2021 winter lecture. Including answers for assignment. Some comments are in Chinese.

PixelRNN-Pokemon-Creation

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。

Stanford-CS143-Compiler

斯坦福CS143编译原理导论课程的学习笔记，配环境相关资源等等。

Sunnyhaze

Self introduction.

blog-configs

博客后台的基本的配置文件备份

sunnyhaze.github.io.backup

An_introduction_to_deep_neural_networks

the files of lesson "An introduction to deep neural networks" of Sichuan University.

PMAE

Official repository of paper “Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features”

Fixation-stability-Detector

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。