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30min_guides

覃健祥的学习笔记，各种几十分钟入门的文档

caffe

Caffe: a fast open framework for deep learning.

caffe-yf

test_caffe_upload

cdh4-hadoop-streaming-cpp

A sample set of programs by Yi Wang that implements the Word Count MapReduce job in C++ and runs it over CDH4 Apache Hadoop's Streaming framework

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

fasttext

Library for fast text representation and classification.

hello_world

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

rnn_text_classify

Text classification using LSTM

sh_xy

spacevim

spacevim :snowflake: Like spacemacs, but :two_hearts: vim

spf13-vim

The ultimate vim distribution

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tem

tem

tensorflow-chinese-tutorial

TensorFlow中文教程

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-helloworld

test_xy

wojiushiyishi

vimrc

The ultimate Vim configuration: vimrc

word2vec

Automatically exported from code.google.com/p/word2vec