zwq1230 Goto Github PK

12306

12306智能刷票，订票

12306_code_server

该仓库用于构建自托管的12306验证码识别服务器

3d-reconstruction-of-medical-images-with-radom-transformation

3d-unet

Chainer implementations of 3D UNet

3d_pspnet

Pyramid Scene Parsing Network in 3D: improving semantic seg- mentation of point clouds with multi-scale contextual information

a-lsqr-type-method-provides-a-computationally-efficient-automated-optimal-choice-of-regularization-p

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

atom

:atom: The hackable text editor

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

baidu-netdisk-downloaderx

⚡️ 一款图形界面的百度网盘不限速下载器，支持 Windows、Linux 和 Mac。 https://hacpai.com/tag/bnd

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

caffe

Caffe: a fast open framework for deep learning.

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

caffe-windows

Configure Caffe in one hour for Windows users.

chainer

A flexible framework of neural networks for deep learning

clan

Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

cnn-rpgd

Code for 'CNN-Based Projected Gradient Descent for Consistent Image'.

compsensing_dip

Compressed sensing with deep image prior algorithm

copytranslator

Foreign language reading and translation assistant based on copy and translate.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs_twin_image_removal_1

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

deep-learning-for-inverse-problems

This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.

deepcreampy-archived

Archived version of DeepCreamPy.

deepflash

deepinpy

Deep inverse problems in Python

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.