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Edan_Wong's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-kgqa icon awesome-kgqa

A collection of some materials of knowledge graph question answering

bamnet icon bamnet

Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"

cronkgqa icon cronkgqa

ACL 2021: Question Answering over Temporal Knowledge Graphs

exaqt icon exaqt

Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"

langchain-chatchat icon langchain-chatchat

Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

matqa icon matqa

Multi-Answer Time-Series Knowledge Reasoning

mymind icon mymind

学习一下qt创建思维导图,流程图项目

paddlehub icon paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

pfoodreq icon pfoodreq

Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

qa-survey icon qa-survey

北航大数据高精尖中心研究张日崇团队对问答系统的调研。包括知识图谱问答系统(KBQA)和文本问答系统(TextQA),每类系统分别对学术界和工业界进行调研。

rce-kgqa icon rce-kgqa

A novel pipeline framework for multi-hop complex KGQA task. About the paper title: Improving Multi-hop Embedded Knowledge Graph Question Answering by Introducing Relational Chain Reasoning

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

transfernet icon transfernet

Pytorch implementation of EMNLP 2021 paper "TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph "

transformers icon transformers

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

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