mubidiy Goto Github PK

deeplearning

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

deeplearningtutorial

深度学习入门教程, 优秀文章, Deep Learning Tutorial

dfgn-pytorch

Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

entitylinking_xgboost

基于XGBoost算法实现一个实体链指的具体应用

hellowordgit

hgn

jd_sign_action

基于github actions的京东签到、领京豆

learning_to_retrieve_reasoning_paths

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

multihopkg

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

plm-nlp-code

pytorch-doc-zh

Pytorch 中文文档

satm

Our Java implementation of Self-Aggregation-Based Topic Model (SATM)

translucent-answer-prediction

TAP (Translucent Answer Prediction), is a system to identify answers and evidence (in the form of supporting facts) in an RCQA task that requires multi-hop reasoning. TAP comprises two loosely coupled networks, called Local and Global Interaction eXtractor (LoGIX) and the Answer Predictor (AP).