Pengcheng YIN's repositories
zeroshot_parser
A zero-shot neural semantic parser without using annotated parallel training data.
sempre
Semantic Parser with Execution
transformers-1
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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).
pytorch_basic_nmt
A simple yet strong implementation of neural machine translation in pytorch
spaCy
đź’« Industrial-strength Natural Language Processing (NLP) in Python
pytorch_neural_symbolic_machines
A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)
codalab-worksheets
A collaborative platform for reproducible research (web interface and CLI).
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).
nn4nlp-code
Code Samples from Neural Networks for NLP
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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.
pytorch_nmt
A neural machine translation model in PyTorch
pytorch-gated-graph-neural-network
A simple Pytorch implementation of Gated Graph Neural Networks
dynet
DyNet: The Dynamic Neural Network Toolkit
pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
scone-executor
Executor for the SCONE dataset
pbmt_assignment
11731 assignment 2