LeyiChi's Stars
chennnM/GCNII
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
ZJU-Fangyin/KCL
Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]
Azure/active-learning-workshop
Active Learning Workshop Materials
datawhalechina/team-learning-nlp
主要存储Datawhale组队学习中“自然语言处理”方向的资料。
AIM-Harvard/pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
ContinualAI/continual-learning-papers
Continual Learning papers list, curated by ContinualAI
clam004/intro_continual_learning
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
optimass/continual_learning_papers
Relevant papers in Continual Learning
GT-RIPL/Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
GalaxyLearning/GFL
Galaxy Federated Learning Framework (星际联邦学习框架)
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
iacobo/continual
Continual Learning of Electronic Health Records (EHR).
NYUMedML/GNN_for_EHR
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
bdy9527/SDCN
Structural Deep Clustering Network
nairouz/R-GAE
xkLi-Allen/Awesome-GNN-Research
My future research
johny-c/pylmnn
Large Margin Nearest Neighbors implementation in python
TianxiangZhao/GraphSmote
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
datawhalechina/daily-interview
Datawhale成员整理的面经,内容包括机器学习,CV,NLP,推荐,开发等,欢迎大家star
Prady029/LIFT-MultiLabel-Learning-with-Label-Specific-Features
A research paper implementation from scratch for pet project :)
chikalabouka/INF8225-TP4
word2vec with cbow and skipgrams models using hierarchical softmax and negative sampling
minstar/compare-common-model
Comparing Hierarchical Softmax, CBOW, Skipgram, Negative Sampling, Subsampling with text8 dataset
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
coin-or/pulp
A python Linear Programming API
ZJU-BMI/KAMA
shenweichen/AlgoNotes
【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
gdyshi/model_deployment
sample model deployment code