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abs_pretraining

app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

cnndm_acl18

Code to obtain the training data for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

dense_parser

DeNSe parser in Dependency Parsing as Head Selection (EACL 2017) https://arxiv.org/abs/1606.01280

deterministic_gpu_rnn

dress

DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf

efficiency_test_c_java_lua_python

gitignore

A collection of useful .gitignore templates

hf_datasets

iclr2021-openreviewdata

Crawl & visualize ICLR papers and reviews.

iornn-depparse

Reranking-based dependency parsing with inside-outside recursive neural network

lstm-lm

machine-learning-algorithms-details-and-implementation

Original project http://code.google.com/p/machine-learning-algorithms-details-and-implementation

mixer

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

mlpractical

Machine Learning Practical (INFR11119)

neusum

Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

nlpapereading

nn

opennmt-py

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

pdf2image

A python module that wraps the pdftoppm utility to convert PDF to PIL Image object

pysari

Text Simplification System and Dataset

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-nlp

Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

rnnpg

Code for Chinese Poetry Generation with Recurrent Neural Networks (EMNLP 2014)

supermakefile

td-treelstm

Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf

torchscale

Transformers at any scale

truecaser

Language independent truecaser in Python.

unilm

UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities