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aidlearning-framework

Aid Learning is a Linux system with GUI running on Android without root. AidLearning is also a Python programming framework for mobile devices. In addition the features available in the Linux environment, AidLearning has supported GUI and neural network environments. For example, Caffe, Tensorflow, Mxnet, ncnn, Keras are perfectly supported.

android_camera

A demo app. Take picture and analyse

appdebug

The Debug version of My PhotoApp

caffe-deconvnet

A deconvolutional network in caffe

chatgpt-on-wechat

industrial_image_process_pipe

线阵相机扫描图像，将扫描图像切割送入线程池处理，按照stamp拼接处理后图像

interactive-echocardiograhpy-translation-with-few-shot-gan

Echocardiography Translation in Training System

largemargin_softmax_loss

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

lisa-caffe-public

Lisa Anne's public caffe code.

matchingnetworks

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

neurecon

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

nvdiffrecmc

Official code for the NeurIPS 2022 paper "Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising".

opendir

Automatically exported from code.google.com/p/opendir

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

realtime_multi-person_pose_estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

semi-3de-seg

基于对抗网络的三维超声心动图左心室心肌半监督分割方法

serialportdebug

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

stanogan

一种左心室超声心动图视频的半监督异常检测方法

ucasthesis

[最新样式] **科学院大学学位论文 LaTeX 模板 LaTeX Thesis Template for the University of Chinese Academy of Sciences

wechatbot

workflow

A workflow practice for multi-form submit