fightingforcode
I am TuZhenyi,a student in Huaqiao University, I am eager to learn on GitHub and contribute my part to this community.
Huaqiao UniversityXiamen,Fujian,China
fightingforcode's Stars
benhamner/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
A11en0/Deep-BR
Deep Neural Network for Multi Label Learning with Binary Relevance
ZesenChen/PyMLKNN
ML-KNN algorithm in python
AiXia520/MLWSE
Multi-Label Classification with Weighted Classifier Selection and Stacked Ensemble
zhc940702/SADeepcry
hinanmu/BinaryRelevance-Based
The implementation of the paper 'Classifier chains for multi-label classification' in ML 2011 and 'Bayes optimal multilabel classification via probabilistic classifier chains' in ICML 2010. BR-based multi-label algorithm(BR,CC,ECC,PCC)
RandolphVI/Multi-Label-Text-Classification
About Muti-Label Text Classification Based on Neural Network.
hamadichihaoui/pytorch-vit-frcnn
xubuild/SGM-for-Multi-label-Classification
A pytorch implemention of paper Sequence Generation Model for Multi-label Classification (COLING 2018)
lancopku/SGM
Sequence Generation Model for Multi-label Classification (COLING 2018)
fightingforcode/AACFlow
fkodom/grouped-query-attention-pytorch
(Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints" (https://arxiv.org/pdf/2305.13245.pdf)
yu-gi-oh-leilei/TSFormer
Reproduce PyTorch implementation of the paper "Two-Stream Transformer for Multi-Label Image Classification" ACM MM 2022
aofrancani/TSformer-VO
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
jasonseu/TSFormer
An official codebase of Two-Stream Transformer for Multi-Label Image Classification, ACMMM 2022.
lizhaoliu-Lec/CNLE
Official code release for CNLE: Co-attention network with label embedding for text classification. Neurocomputing 2022
EiraZhang/LACO
This repository contains the code for our paper [Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning]
adrinta/MAGNET
MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network
GitFTuan/ETFC
Deep learning-based multi-functional therapeutic peptides prediction with an multi-label focal dice loss (Bioinformatics 2023).
xialab-ahu/ETFC
Deep learning-based multi-functional therapeutic peptides prediction with a multi-label focal dice loss function
xialab-ahu/MLBP
Identifying bioactive peptide function using multi-label deep learning
Tsedao/MultiRM
[Nat. Commun.] Code for paper 'Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications'
lennylv/TransRNAm
LiangThree/Rm-LR
YangLab/RNAlight
a machine learning model to identify nucleotide features determining RNA subcellular localization
ImSoErgodic/py-upset
A pure-python implementation of the UpSet suite of visualisation methods by Lex, Gehlenborg et al.
style507/Text-FCG
HuijuanQiao/KD-KLNMF
KD-KLNMF: Identification of lncRNAs subcellular localization with multiple features and nonnegative matrix factorization
haichengyi/bioseq2vec
BioSeq2vec: learning deep representation of biological sequences using LSTM Encoder-Decoder
rorcde/mds20_stega
This is the repository for the Models of Sequence Data 2020 Edition for the project RNN-Stega: Linguistic Steganography Based on Recurrent Neural Networks