Pinned Repositories
dire
Neural Variable Renaming for Decompiled Binaries
dynet_nmt
A neural machine translation model in DyNet
NL2code
A syntactic neural model for parsing natural language to executable code
PyRouge
A python library to compute rouge score for summarization
pytorch-gated-graph-neural-network
A simple Pytorch implementation of Gated Graph Neural Networks
pytorch_basic_nmt
A simple yet strong implementation of neural machine translation in pytorch
pytorch_neural_symbolic_machines
A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)
pytorch_nmt
A neural machine translation model in PyTorch
structVAE
tranX
A general-purpose neural semantic parser for mapping natural language queries into machine executable code
pcyin's Repositories
pcyin/tranX
A general-purpose neural semantic parser for mapping natural language queries into machine executable code
pcyin/NL2code
A syntactic neural model for parsing natural language to executable code
pcyin/pytorch_nmt
A neural machine translation model in PyTorch
pcyin/pytorch_basic_nmt
A simple yet strong implementation of neural machine translation in pytorch
pcyin/PyRouge
A python library to compute rouge score for summarization
pcyin/pytorch-gated-graph-neural-network
A simple Pytorch implementation of Gated Graph Neural Networks
pcyin/pytorch_neural_symbolic_machines
A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)
pcyin/structVAE
pcyin/dire
Neural Variable Renaming for Decompiled Binaries
pcyin/zeroshot_parser
A zero-shot neural semantic parser without using annotated parallel training data.
pcyin/dynet_nmt
A neural machine translation model in DyNet
pcyin/allennlp
An open-source NLP research library, built on PyTorch.
pcyin/bilstm_crf
pcyin/datasets
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
pcyin/nn4nlp-code
Code Samples from Neural Networks for NLP
pcyin/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).
pcyin/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).
pcyin/codalab-worksheets
A collaborative platform for reproducible research (web interface and CLI).
pcyin/dynet
DyNet: The Dynamic Neural Network Toolkit
pcyin/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
pcyin/improving-compgen-in-semparse
pcyin/my_fairseq
pcyin/neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
pcyin/pbmt_assignment
11731 assignment 2
pcyin/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
pcyin/scone-executor
Executor for the SCONE dataset
pcyin/sempre
Semantic Parser with Execution
pcyin/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
pcyin/tir_submit_job
pcyin/transformers-1
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.