caozhen-alex Goto Github PK

caozhen-alex.github.io

cmu-15213

Carnegie Mellon University 15-213: Introduction to Computer Systems (ICS)

cmu11-485-785

11-485/785 Introduction to Deep Learning Fall 2018

cs224n-natural-language-processing-winter2019

My Programming Assignments for CS224n: Natural Language Processing with Deep Learning - Winter 2019

cs224n-winter17-notes

Course notes for CS224N Winter17

design-resource

A list of design resources.

dialogue-seq2seq

Sequence-to-Sequence Generative Dialogue Systems

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fall2018-tutorials

Tutorials for Fall 2018

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

ivanhoinacki.github.io

jupyter

Jupyter metapackage for installation, docs and chat

keyphrasegen

kindle_free_books

免费的Kindle电子书资源，不定期更新...

learn_git

A repo to learn git&github!

mpqg

Code corresponding to our paper "Leveraging Context Information for Natural Question Generation"

nlp-dl-tricks

Tricks of NLP/deep Learning/machine learning, etc.

nmt

Minimalist NMT for educational purposes

nqg

neural question generation for reading comprehension

nqg_ass2s

Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al., AAAI 2019

or-nmt

Source code for the paper <Bridging the Gap between Training and Inference for Neural Machine Translation>

paper-reading

Paper reading in natural language processing, including dialogue system, text summarization, topic modeling, etc.

para-level-nqg

pytorch implmentation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

phrase-chunking

Phrase Chunking in Python for extraction of multiple sentiments

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

pytorch-seq2seq-1

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

qg

Implementation of the paper "Learning to Generate Questions by Learning What not to Generate"

question_generation

Implementation of <Learning to Ask: Neural Question Generation for Reading Comprehension> by Xinya Du et al.