Alexandmrwh's Stars
chrhenning/posterior_replay_cl
Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.
naderAsadi/CLHive
A PyTorch framework for Continual Learning research.
nju-websoft/LKGE
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023
JinjieNi/EasyLiterature
EasyLiterature is an open-sourced, Python-based command line tool for automatic literature management.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
alexhw15/HiRe
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
stmrdus/tkger
Some papers on Temporal Knowledge Graph Embedding and Reasoning
EdisonLeeeee/Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
MILVLG/mcan-vqa
Deep Modular Co-Attention Networks for Visual Question Answering
xinke-wang/Awesome-Text-VQA
jokieleung/awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
facebookresearch/tkbc
A knowledge base completion method which handles temporal metadata
hastings24/rethinking_er
Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
optimass/continual_learning_papers
Relevant papers in Continual Learning
ggjy/CMT.pytorch
CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
KyneWang/CoNE
Source code for paper: Enhancing Knowledge Graph Embedding by Composite Neighbors for Link Prediction
tensorflow/neural-structured-learning
Training neural models with structured signals.
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
merialdo/research.lpca
This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddings for Link Prediction: A Comparative Analysis" (https://arxiv.org/abs/2002.00819). Principal contributor: ANDREA ROSSI (https://github.com/AndRossi)
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
YuxiangRen/Hierarchical-Graph-Attention-Network
tkipf/pygcn
Graph Convolutional Networks in PyTorch
yysijie/st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
ggjy/P2Net.pytorch
graykode/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
r0f1/datascience
Curated list of Python resources for data science.