milllllk Goto Github PK

algorithm

Algorithm Problems I solved... as a hobby

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

allen_ai_kaggle

My solution for Kagge Allen AI Challenge ( 3rd place )

apple

attention-on-attention-for-vqa

Visual Question Answering Project with state of the art single Model performance.

autodetector

awesome-vqa

Visual Q&A reading list

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

buboqa

Simple question answering over knowledge graphs (Mohammed et al., NAACL 2018)

cfo

Conditional Focused Neural Question Answering with Large-scale Knowledge Bases

chatbot_cn

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

co-squac

A repository for converting between CoQA, SQuAD2, and QuAC and visualizing the data.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cogdl

CogDL: An Extensive Research Toolkit for Graphs

cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deepwalk

DeepWalk - Deep Learning for Graphs

dgl

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

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dmn-tensorflow

TensorFlow implementation of 'Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015)'

dqn

Implementation of q-learning using TensorFlow

dynamic-memory-networks-in-tensorflow

Dynamic Memory Network implementation in TensorFlow

dynamic-memory-networks-in-theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flowqa

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

ganswer

A KBQA system based on DBpedia.

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)