wubin1836
Founder&CEO OF INFIMIND @aifashion MASTER Student Natural Language Processing and Computational Social Science Lab
INFIMIND @aifashion Tsinghua University Fit
Pinned Repositories
across
Across the Great Wall we can reach every corner in the world
awesome-deep-learning-papers
The most cited deep learning papers
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
chaomy
chaomy company
CLRS
:notebook:Solutions to Introduction to Algorithms
CWS_POS
Deep-Image-Analogy
The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
wubin1836's Repositories
wubin1836/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
wubin1836/awesome-deep-learning-papers
The most cited deep learning papers
wubin1836/CWS_POS
wubin1836/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
wubin1836/across
Across the Great Wall we can reach every corner in the world
wubin1836/bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
wubin1836/chaomy
chaomy company
wubin1836/CLRS
:notebook:Solutions to Introduction to Algorithms
wubin1836/Deep-Image-Analogy
The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
wubin1836/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
wubin1836/Dialog_Corpus
用于训练中英文对话系统的语料库 Datasets for Training Chatbot System
wubin1836/fake-analysis
wubin1836/FMN-pytorch
feed back memory network
wubin1836/house_rent
wubin1836/hred-qs
Hierarchical Recurrent Encoder Decoder for Query Suggestion
wubin1836/ISGS
wubin1836/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
wubin1836/lagou_crawler
拉钩网 爬虫
wubin1836/mean-teacher
A state-of-the-art semi-supervised method for image recognition
wubin1836/paperweekly_bot
a bot for paperweekly
wubin1836/person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
wubin1836/pytorch-cifar
95.16% on CIFAR10 with PyTorch
wubin1836/slim-api-skeleton
Slim 3 API skeleton project for Composer
wubin1836/spotlight
Deep recommender models using PyTorch.
wubin1836/StylisticPoetry
Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)
wubin1836/TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
wubin1836/triplet-reid
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
wubin1836/wechat-app-mall
微信小程序商城，微信小程序微店
wubin1836/WMPoetry
Source codes of Chinese Poetry Generation with a Working Memory Model (IJCAI 2018)
wubin1836/wubin1836.github.io