YiZhiXiaoGuLI

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

Keras_Demo

backprop-neat-js

Neural Network Evolution Playground with Backprop NEAT

pytorch-beginner

pytorch tutorial for beginners

100-Days-Of-ML-Code

100 Days of ML Coding

termgraph

a python command-line tool which draws basic graphs in the terminal

mtt

MATLAB Tensor Tools

R-Net

Tensorflow Implementation of R-Net

QANet

A Tensorflow implementation of QANet for machine reading comprehension

DrQA

A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

Deep-Learning-NLP

:satellite: Organized Resources for Deep Learning in Natural Language Processing

acl2018-semantic-parsing-tutorial

Materials from the ACL 2018 tutorial on neural semantic parsing

dive-into-ml-system

Dive into machine learning system, start from reinventing the wheel.

svdmi

Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.

ppmi

Semantic relatedness of words via vector space models

text-classification-models-tf

Tensorflow implementations of Text Classification Models.

nlp-tensorflow

NLP Tensorflow Tutorials

openstack_install

☁ Ocata(CentOS 7.3) 版本，特点【脚本结构和官方步骤一致，容易上手和定制】开启生产实践之旅吧

hyperboard

A web-based dashboard for Deep Learning

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Seq2seqChatbots

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

GRU-RCN

Video classification using convGRU

hottbox-tutorials

:orange_book: HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

text_classification

all kinds of text classification models and more with deep learning

keras-examples

Keras样例解析

dmn

Twitter network graph

Awesome-Chinese-NLP

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

visual-qa

[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering