Xingyuan Bu (sefira)

sefira

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Company:Alibaba

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Xingyuan Bu's repositories

word2vec

This is a word2vec for Chinese douban movie reviews 在豆瓣电影影评上进行word2vec, 一个中文语料word2vec

question-classification-cnn-rnn-attention

针对百度知道电影问答数据的问题分类 question classification for zhidao.baidu.com in movie domain

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bing_query_title_match

Bing search log, query and title pairwise loss match

GoogleImageSearchAPISimulation

a Google Image Search API Simulation while Google‘s is no longer available.

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PreciseRoIPooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

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c2board

Tensorboard for Caffe2

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CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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conditional-convolutional-neural-network

Implement of conditional convolutional neural network ICCV15. A source code of paper: Attention Estimation for Input Switch in Scalable Multi-display Environments

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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Detectron-Cascade-RCNN

Cascade R-CNN in Detectron

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DistantSupervision

Zhidao Movie

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DLHeadPose

DL for head pose estimation, will be used in MultiScreen_UniMouse

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jmc

jmc - a new macOS media organizer

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models

Model configurations

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MultiScreen_UniMouse

switch our single mouse and keyboard contrl rights between multisScreen in multi computer by gaze( just face pose)

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neural-style

Torch implementation of neural style algorithm

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Paddle

PArallel Distributed Deep LEarning

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PANet

PANet for Instance Segmentation and Object Detection

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pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

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semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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SensorToMotion

recognize the Motion class for hongqi tech. sensor

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serving

A flexible, high-performance serving system for machine learning models

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siggraph2016_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

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ToyDL_MNIST

Toy project for quick experiment in Deep learning

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