leuchine

loss-landscape

Code for visualizing the loss landscape of neural nets

testSignificanceNLP

UBAR-MultiWOZ

AAAI 2021: "UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2"

MiniFold

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

Knover

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

conversational-datasets

Large datasets for conversational AI

ToD-BERT

Pre-Trained Models for ToD-BERT

NeuralDialog-LaRL

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

DialoGPT

Large-scale pretraining for dialogue

sequicity

Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures" by Wenqiang Lei et al.

dm-haiku

JAX-based neural network library

Task-Oriented-Dialogue-Research-Progress-Survey

A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.

RNNLG

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

SC-GPT

Few-shot Natural Language Generation for Task-Oriented Dialog

damd-multiwoz

Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context, AAAI 2020.

multiwoz

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

DialogStateTracking

Dialog State Tracking using End-to-End Neural Networks

gpt-3

GPT-3: Language Models are Few-Shot Learners

coronavirus_data

trees_from_transformers

Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTION'.

Graph-Universal-Attack

UnsupervisedMT

Phrase-Based & Neural Unsupervised Machine Translation

tre

Measuring compositionality in representation learning

predictabilityParsing

grammar induction libraries that take advantage of predictability effects

rnng-bert

Constituency parser for English and Chinese, built on the RNNG and In-Order parsers with BERT

AMR-gs

AMR Parsing via Graph-Sequence Iterative Inference

gnn-model-explainer

gnn explainer

NeuroNLP2

Deep neural models for core NLP tasks (Pytorch version)

rnng

Recurrent neural network grammars

PyDictionary

PyDictionary is a Dictionary Module for Python 2/3 to get meanings, translations, synonyms and antonyms of words