desmonday Goto Github PK

ai_lab

created for AI class.

android_lab

Created for Android class homework.

awesome-chatbot

Awesome Chatbot Projects,Corpus,Papers,Tutorials.

benchmark4graphsage

desmonday.github.io

dialoguehgt

Using heterogeneous graph transformer in DialogueGCN.

distgpugraph

PGL DistGPUGraph Optimization

docs

Documentations for PaddlePaddle

familia

A Toolkit for Industrial Topic Modeling

familia_paddlehub

Python version Familia.

flowqa

Implementation of conversational QA model: FlowQA (with slight improvement)

graph-to-seq-comment-generation

Code for the paper ``Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model''

kbrd

Source code and dataset for EMNLP 2019 paper "Towards Knowledge-Based Recommender Dialog System"

littlegrey

Online knowledge chatbot.

magspeed

multiturnresponseselection

This repo contains our ACL paper data and source code

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paddleapitest

paddlecustomdevice

PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)

paddlehub

Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）

paddlenlp

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

parlai

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

pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

pgl-wheels

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

recsys

algorithms about recommender systems：probabilistic matrix factorization

tgodc-dkrn

The source code of the paper 'Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation'

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.