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scrapy_jingdong

用scrapy写的京东爬虫

scrapy_weibo

基于Python3_Scrapy框架_爬取新浪微博

scratchai

scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.

screengrab-caption

an openframeworks app that live-captions your desktop screen with a neural net

screentogif

ScreenToGif allows you to record a selected area of your screen and save it as a gif or video.

scribe

Realistic Handwriting with Tensorflow

scrnns

This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.

scv

Learning Optical Flow from a Few Matches (CVPR 2021)

sdalf

Person re-identification with SDALF - CVPR 2010

sdgan

Implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"

sds_eccv2014

sdsandbox

sandbox for training a self-driving car

se-psnet

This project hosts the code for implementing the SE-PSNet for panoptic segmentation.

se-wrl

Improve word representation learning with sememes.

search-engine

🔎🗺 Visual search engine for user curated mind maps on the web

searchkit

React UI components / widgets. The easiest way to build a great search experience with Elasticsearch.

seasonal

Robustly estimate trend and periodicity in a timeseries.

sec

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

security-data-analysis-and-visualization

2018-2020青年安全圈-活跃技术博主/博客

see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

see-1

seed

seeing-theory

A visual introduction to probability and statistics.

seeprettyface-face_editor

这是一个基于StyleGAN的人脸属性编辑器

seeprettyface-generator-wanghong

这是一个用StyleGAN训练出的网红脸生成器

seetafaceengine

seg-torch

Segmentation with deep learning

seg-with-spn

Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge

segan

A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".

segaware

Segmentation-Aware Convolutional Networks Using Local Attention Masks