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gnnpapers

Must-read papers on graph neural networks (GNN)

gnns-for-nlp

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

google-research

Google Research

gpt-2-openai

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

grade

GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

graph-bert

Source code of Graph-Bert

graphwriter

Code for "Text Generation from Knowledge Graphs with Graph Transformers"

hanlp

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

humod

image-to-image-papers

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

kenlg-reading

Reading list for knowledge-enhanced text generation

ket

The PyTorch code for paper "Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations"

kilt

Library for Knowledge Intensive Language Tasks

krlpapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

language

Shared repository for open-sourced projects from the Google AI Language team.

lihang-code

《统计学习方法》的代码实现

lm-scorer

📃Language Model based sentences scoring library

mdd-eval

memnn

Memory Networks implementations

multirefeval

Code and Data for the paper Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References SIGdial 2019

multiturnresponseselection

This repo contains our ACL 2017 paper data and source code

neural_chat

Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web

online_dialog_eval

Code for the paper "Learning an Unreferenced Metric for Online Dialogue Evaluation", ACL 2020

paml

Personalizing Dialogue Agents via Meta-Learning

parallel-processing

Parallel computing implementation examples

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.