FUZHIYI

Learn to code, learn to accept.

Peking UniversityBeijing, China

Pinned Repositories

Basic-Sequence-Classifier-model
single RNN, bidirectional RNN, HAN for sequence classification task on Imdb v1
Language:Python4 1 00
EMSE-DeepCom
The dataset for EMSE-DeepCom
Language:NewLisp0 2 00
FileFly
Web assignment
Language:HTML1 1 00
ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
Language:Python1 1 00
GNNPapers
Must-read papers on graph neural networks (GNN)
1 1 00
Python
All Algorithms implemented in Python
Language:Python1 1 00
resume
An elegant \LaTeX\ résumé template
Language:TeX1 1 00
seq2seq
Attention-based sequence to sequence learning
Language:Python1 1 00
SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network / Please Star -->
Language:Python1 1 00
TACO
Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"
Language:Python33 5 54

FUZHIYI's Repositories

FUZHIYI/TACO
Code for the ACL 2022 paper "Contextual Representation Learning beyond Masked Language Modeling"
Language:Python33 5 54
FUZHIYI/Basic-Sequence-Classifier-model
single RNN, bidirectional RNN, HAN for sequence classification task on Imdb v1
Language:Python4 1 00
FUZHIYI/FileFly
Web assignment
Language:HTML1 1 00
FUZHIYI/ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
Language:Python1 1 00
FUZHIYI/GNNPapers
Must-read papers on graph neural networks (GNN)
1 1 00
FUZHIYI/Python
All Algorithms implemented in Python
Language:Python1 1 00
FUZHIYI/resume
An elegant \LaTeX\ résumé template
Language:TeX1 1 00
FUZHIYI/seq2seq
Attention-based sequence to sequence learning
Language:Python1 1 00
FUZHIYI/SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network / Please Star -->
Language:Python1 1 00
FUZHIYI/EMSE-DeepCom
The dataset for EMSE-DeepCom
Language:NewLisp0 2 00