California

Pengcheng YIN

Expert
@pcyin

tranX. A general-purpose neural semantic parser for mapping natural language queries into machine executable code

464

NL2code. A syntactic neural model for parsing natural language to executable code

186

pytorch_nmt. A neural machine translation model in PyTorch

120

pytorch_basic_nmt. A simple yet strong implementation of neural machine translation in pytorch

93

pytorch_neural_symbolic_machines. A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)

63

pytorch-gated-graph-neural-network. A simple Pytorch implementation of Gated Graph Neural Networks

59

PyRouge. A python library to compute rouge score for summarization

57

structVAE. Python

54

dire. Neural Variable Renaming for Decompiled Binaries

45

OSPF_Router. C++ implementation of the OSPF routing protocol

18

zeroshot_parser. A zero-shot neural semantic parser without using annotated parallel training data.

8

dynet_nmt. A neural machine translation model in DyNet

6

TaBERT. This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

1

allennlp. An open-source NLP research library, built on PyTorch.

1

nn4nlp-code. Code Samples from Neural Networks for NLP

1

datasets. 🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

1

pynlpl. PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

1

tree-viewer. A d3.js syntax tree viewer

1

bilstm_crf. Python

1

TinyDFS. a tiny distributed file system

1

iScript. 各种脚本 -- 关于 虾米 xiami.com, 百度网盘 pan.baidu.com, 115网盘 115.com, 网易音乐 music.163.com, 百度音乐 music.baidu.com, 360网盘/云盘 yunpan.cn, 视频解析 flvxz.com, bt torrent <--> magnet, ed2k, tumblr.com, unzip

1

WeiBoCrawler. C#

1

nn. A tiny neural network library

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