harvardnlp/sent-summary

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MIT License
Created over 8 years ago
Updated over 6 years ago

harvardnlp/sent-summary

harvardnlp

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sent-summary

Training and evaluation data for Gigaword is available https://drive.google.com/open?id=0B6N7tANPyVeBNmlSX19Ld2xDU1E

Training and evaluation for CNN/DM is available https://s3.amazonaws.com/opennmt-models/Summary/cnndm.tar.gz

annotated-transformer

An annotated implementation of the Transformer paper.

Jupyter Notebook

seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

im2markup

Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)

pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

Jupyter Notebook

sent-conv-torch

Text classification using a convolutional neural network.

namedtensor

Named Tensor implementation for Torch

Jupyter Notebook

var-attn

Latent Alignment and Variational Attention

neural-template-gen

struct-attn

Code for Structured Attention Networks https://arxiv.org/abs/1702.00887

NeuralSteganography

STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS

urnng

botnet-detection

Topological botnet detection datasets and graph neural network applications

data2text

sa-vae

compound-pcfg

cascaded-generation

Cascaded Text Generation with Markov Transformers

TextFlow

boxscore-data

decomp-attn

Decomposable Attention Model for Sentence Pair Classification (from https://arxiv.org/abs/1606.01933)

encoder-agnostic-adaptation

Encoder-Agnostic Adaptation for Conditional Language Generation

genbmm

CUDA kernels for generalized matrix-multiplication in PyTorch

Jupyter Notebook

DeepLatentNLP

nmt-android

Neural Machine Translation on Android

BSO

hmm-lm

seq2seq-talk

Talk-Latent

regulatory-prediction

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

harvardnlp.github.io

strux

lie-access-memory

annotated-attention

Jupyter Notebook

DataModules

A state-less module system for torch-like languages

rush-nlp

seq2seq-attn-web

tutorial-deep-latent

MemN2N

Torch implementation of End-to-End Memory Networks (https://arxiv.org/abs/1503.08895)

image-extraction

Extract images from PDFs

Jupyter Notebook

paper-explorer

readcomp

Entity Tracking Improves Cloze-style Reading Comprehension

banded

Sparse banded diagonal matrices for pytorch

torax

cs6741

simple-recs

poser

iclr

cs6741-materials