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DongdingLin's Projects

airsim icon airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

blog-picture icon blog-picture

Create For My Blog Picture Database. MyBlog Address: lindongding.com. Welcome!

capsnet icon capsnet

A PyTorch implementation of CapsNet based on Geoffrey Hinton's paper "Dynamic Routing Between Capsules"

capsule-networks icon capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

fasttext icon fasttext

Library for fast text representation and classification.

flowqa icon flowqa

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

girls-and-boys icon girls-and-boys

Code For Kaggle Competition: Girls and Boys. 11th in Public Leaderboard, 4th in Private Leaderboard. Stacking Model is proved to be successful in this competition.

guyu icon guyu

pre-training and fine-tuning framework for text generation

knowledgegraph icon knowledgegraph

史上最大规模1.4亿知识图谱数据免费下载,知识图谱,通用知识图谱,融合了两千五百多万的实体,拥有亿级别的实体属性关系。

paddlenlp icon paddlenlp

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

profiles icon profiles

Clash、Kitsunebi、Mellow、Quantumult(X)、Shadowrocket、Pepi(ShadowRay)、Surge 的配置规则文件

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

research icon research

novel deep learning research works with PaddlePaddle

resume icon resume

An elegant \LaTeX\ résumé template

rllte icon rllte

Long-Term Evolution Project of Reinforcement Learning

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

word2vec icon word2vec

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

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