yangyaoyunshu's repositories
awesome-dl4nlp
A curated list of awesome Deep Learning for Natural Language Processing resources
bigflow
Baidu Bigflow is a interface that allows for writing distributed computing programs and provides lots of simple, flexible, powerful APIs. Using Bigflow, you can easily handle data of any scale.
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。
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
deeplearning.ai-1
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
fairseq-py
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
image-caption-ai-challenger2017
image caption based on show attention and tell using tensorflow
Image_Captioning_AI_Challenger
Code for AI Challenger contest. (Generating chinese image captions)
keras-text
Text Classification Library in Keras
language-identification-template
Detect the languages from short pieces of text
lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
Machine-Translation-Transformers
Machine Translation using Transfromers (without RNNs or CNNs). "Attention Is All You Need."
MillionHero
百万英雄/冲顶大会答题助手
multi-criteria-cws
Simple and Effective Solution for Multi-Criteria Chinese Word Segmentation
nmt-keras
Neural Machine Translation with Keras (Theano/Tensorflow)
PyTorchText
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
requests-html
Pythonic HTML Parsing for Humans™
Screenshot-to-code-in-Keras
A neural network that transforms a screenshot into a static website
Transformer-DyNet
An Implementation of Transformer (Attention Is All You Need)
Transformer-py
PyTorch implementation of machine translation model in "Attention is all you need"
transformer-tensorflow
TensorFlow implementation of 'Attention Is All You Need (2017. 6)'
Transformer-without-Explicit-Segmentation
"Transformer without Explicit Segmentation" running on Tensor2Tensor library