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adversarialnetspapers

The classical Papers about adversial nets

ahk

ahk script

alexa-with-dstc9-track1-dataset

DSTC9 Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access

app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

autosrc

zsh/bash scripts to automatically run commands based on directory

awesome-programming-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

buffer-tree-explorer

A simple vim-plugin for rendering your open buffers into an interactive ascii-tree to allow for easy navigation / management.

caffe

Caffe: a fast open framework for deep learning.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

caffe_colorization

case

Implementation for paper " Unsupervised Domain Adaptation on Reading Comprehension "

cgdb

Console front-end to the GNU debugger

cgdb-manual-in-chinese

《CGDB中文手册》

chaizi

漢語拆字字典

chatbot.catalog.customer-service

💊 智能客服、聊天机器人的应用算法

chinese-electra

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

chinese-xinhua

中华新华字典数据库。包括歇后语，成语，汉字。提供新华字典API。

cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

cnn-for-auto-event-extract

automatic event extract

code

colorization-keras

a classification colorization model using keras framework

colorization-keras-1

a regression colorization model using keras framework

consolas-powerline-vim

Fixed Consolas font for use with Vim Powerline. Font has all variants: regular, bold, italic, bold-italic.

contextual-rnn-gan

Contextual RNN-GANs for Abstract Reasoning Diagram Generation

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cos-e

Commonsense Explanations Dataset and Code

daanet

DAANet: Dual Ask-Answer Network for Machine Reading Comprehension

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

deconvnet-keras

Deconvnet example based on Keras