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Steven Du's Projects

stereonet icon stereonet

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018

stocknet-dataset icon stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

stocks_rnn icon stocks_rnn

Stock price prediction with LSTMs in TensorFlow

stocksharp icon stocksharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).

stocktalk icon stocktalk

Data collection toolkit for social media analytics

style-tranfer icon style-tranfer

Implementation of original style transfer paper (Gatys et al)

subaligner icon subaligner

Automatically synchronize subtitles to audiovisual content with a pretrained deep neural network and forced alignments. https://subaligner.readthedocs.io/

subcnn icon subcnn

Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

subcnn_tf icon subcnn_tf

A tensorflow implementation of SubCNN (working progress)

subhd.py icon subhd.py

Download subtitles from subhd.com automatically

summarizer icon summarizer

A Reddit bot that summarizes news articles written in Spanish or English. It uses a custom built algorithm to rank words and sentences.

summary icon summary

Research on SON Based on Reinforcement Learning

sunets icon sunets

PyTorch Implementation of Stacked U-Nets (SUNets)

super-slomo icon super-slomo

PyTorch implementation of Super SloMo by Jiang et al.

superpixel-benchmark icon superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

superpixels-revisited icon superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

supersqlinjectionv1 icon supersqlinjectionv1

超级SQL注入工具(SSQLInjection)是一款基于HTTP协议自组包的SQL注入工具,采用C#开发,直接操作TCP会话来进行HTTP交互,支持出现在HTTP协议任意位置的SQL注入,支持各种类型的SQL注入,支持HTTPS模式注入;支持以盲注、错误显示、Union注入等方式来获取数据;支持Access/MySQL/SQLServer/Oracle/PostgreSQL/DB2/SQLite/Informix等数据库;支持手动灵活的进行SQL注入绕过,可自定义进行字符替换等绕过注入防护。本工具为渗透测试人员、信息安全工程师等掌握SQL注入技能的人员设计,需要使用人员对SQL注入有一定了解。

surprise icon surprise

A Python recommender system library aimed towards researchers, teachers and students.

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