Pinned Repositories
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
caozhen-alex's Repositories
caozhen-alex/cmu11-485-785
11-485/785 Introduction to Deep Learning Fall 2018
caozhen-alex/cs224n-natural-language-processing-winter2019
My Programming Assignments for CS224n: Natural Language Processing with Deep Learning - Winter 2019
caozhen-alex/cs224n-winter17-notes
Course notes for CS224N Winter17
caozhen-alex/dialogue-seq2seq
Sequence-to-Sequence Generative Dialogue Systems
caozhen-alex/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
caozhen-alex/Fall2018-tutorials
Tutorials for Fall 2018
caozhen-alex/fast_abs_rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
caozhen-alex/jupyter
Jupyter metapackage for installation, docs and chat
caozhen-alex/kindle_free_books
免费的Kindle电子书资源,不定期更新...
caozhen-alex/learn_git
A repo to learn git&github!
caozhen-alex/MPQG
Code corresponding to our paper "Leveraging Context Information for Natural Question Generation"
caozhen-alex/NLP-DL-Tricks
Tricks of NLP/deep Learning/machine learning, etc.
caozhen-alex/nmt
Minimalist NMT for educational purposes
caozhen-alex/nqg
neural question generation for reading comprehension
caozhen-alex/NQG_ASs2s
Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al., AAAI 2019
caozhen-alex/OR-NMT
Source code for the paper <Bridging the Gap between Training and Inference for Neural Machine Translation>
caozhen-alex/Paper-Reading
Paper reading in natural language processing, including dialogue system, text summarization, topic modeling, etc.
caozhen-alex/Para-level-NQG
pytorch implmentation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
caozhen-alex/Phrase-Chunking
Phrase Chunking in Python for extraction of multiple sentiments
caozhen-alex/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
caozhen-alex/pytorch-seq2seq
An open source framework for seq2seq models in PyTorch.
caozhen-alex/pytorch-seq2seq-1
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
caozhen-alex/QG
Implementation of the paper "Learning to Generate Questions by Learning What not to Generate"
caozhen-alex/question_generation
Implementation of <Learning to Ask: Neural Question Generation for Reading Comprehension> by Xinya Du et al.
caozhen-alex/seq2seq
seq2seq model with attention mechanism.
caozhen-alex/sha-rnn
Single Headed Attention RNN - "Stop thinking with your head"
caozhen-alex/Spring2018-tutorials
Tutorials for Spring 2018
caozhen-alex/the-art-of-command-line
Master the command line, in one page
caozhen-alex/tutorials
机器学习相关教程
caozhen-alex/welcome_tutorials
Various tutorials given for welcoming new students at MILA.