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PankajMehar's Projects

python-scraping icon python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

pythonpark icon pythonpark

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

pythonstdiogames icon pythonstdiogames

A compilation of text-based games written in Python that only use "standard i/o".

pytorch-transformers icon pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

qanet icon qanet

A Tensorflow implementation of QANet for machine reading comprehension

qanta icon qanta

A Neural Network for Factoid Question Answering over Paragraphs.

qanta2 icon qanta2

A reimplementation of the QANTA algorithm

query-wellformedness icon query-wellformedness

25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.

question-generation-1 icon question-generation-1

Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains answers to those questions.

quotegen icon quotegen

Cross-Topic Quotes Generation using Word Embeddings

r-net icon r-net

Tensorflow Implementation of R-Net

r3det_tensorflow icon r3det_tensorflow

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

rc-data icon rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

reading_comprehension-cs224n icon reading_comprehension-cs224n

Simple baseline of reading comprehension task on SQuAD dataset. Most of the it are reimplementation of the ICLR2017 paper "Machine Comprehension Using Match-LSTM and Answer Pointer"

research2vec icon research2vec

Representing research papers as vectors / latent representations.

review_aspect_extraction icon review_aspect_extraction

CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

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