tranX. A general-purpose neural semantic parser for mapping natural language queries into machine executable code
464NL2code. A syntactic neural model for parsing natural language to executable code
186pytorch_nmt. A neural machine translation model in PyTorch
120pytorch_basic_nmt. A simple yet strong implementation of neural machine translation in pytorch
93pytorch_neural_symbolic_machines. A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)
63pytorch-gated-graph-neural-network. A simple Pytorch implementation of Gated Graph Neural Networks
59PyRouge. A python library to compute rouge score for summarization
57structVAE. Python
54dire. Neural Variable Renaming for Decompiled Binaries
45OSPF_Router. C++ implementation of the OSPF routing protocol
18zeroshot_parser. A zero-shot neural semantic parser without using annotated parallel training data.
8dynet_nmt. A neural machine translation model in DyNet
6TaBERT. 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).
1allennlp. An open-source NLP research library, built on PyTorch.
1nn4nlp-code. Code Samples from Neural Networks for NLP
1datasets. 🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
1pynlpl. 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).
1tree-viewer. A d3.js syntax tree viewer
1bilstm_crf. Python
1TinyDFS. a tiny distributed file system
1iScript. 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
1WeiBoCrawler. C#
1nn. A tiny neural network library
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