Pinned Repositories
few_shot_learning_papers
gcn
Implementation of Graph Convolutional Networks in TensorFlow
graph_nets
Build Graph Nets in Tensorflow
namenotexist.github.io
RuleE
namenotexist's Repositories
namenotexist/few_shot_learning_papers
namenotexist/gcn
Implementation of Graph Convolutional Networks in TensorFlow
namenotexist/graph_nets
Build Graph Nets in Tensorflow
namenotexist/namenotexist.github.io
namenotexist/RuleE
namenotexist/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
namenotexist/anago
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
namenotexist/bran
Full abstract relation extraction from biological texts with bi-affine relation attention networks
namenotexist/codefromnow.github.io
my blog website
namenotexist/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
namenotexist/CPS-OCR-Engine
An awesome OCR engine developed by SYSU DeepDriving Lab
namenotexist/DLNote
namenotexist/FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
namenotexist/FigureBed
FigureBed for namenotexist
namenotexist/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
namenotexist/FrontEndNote
namenotexist/leetcode_weektrain
namenotexist/LINUX
namenotexist/One-shot-Relational-Learning
Code for One-shot Relational Learning for Knowledge Graphs
namenotexist/One-Shot-Relational-Learning-for-Knowledge-Graphs
namenotexist/OpenKE
An Open-Source Package for Knowledge Embedding (KE)
namenotexist/OpenNE
An Open-Source Package for Network Embedding (NE)
namenotexist/PAT
🍭 浙江大学PAT题解(C/C++/Java/Python) - 努力成为萌萌的程序媛～
namenotexist/PATNote
namenotexist/PointerNet4TSP
namenotexist/PythonNote
namenotexist/remote_miair_test
namenotexist/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
namenotexist/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
namenotexist/tutorials