tata1661's Stars
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
PaddlePaddle/PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固,暂停交互,请耐心等待】
Embedding/Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
ymcui/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
WooooDyy/LLM-Agent-Paper-List
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
learnables/learn2learn
A PyTorch Library for Meta-learning Research
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
GanjinZero/awesome_Chinese_medical_NLP
中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
RManLuo/Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
thunlp/KRLPapers
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
DeepGraphLearning/KnowledgeGraphEmbedding
roomylee/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
thunlp/NREPapers
Must-read papers on neural relation extraction (NRE)
PaddlePaddle/PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
xinguoxia/KGE
Some papers on Knowledge Graph Embedding(KGE)
Jhy1993/Representation-Learning-on-Heterogeneous-Graph
Representation-Learning-on-Heterogeneous-Graph
BUPT-GAMMA/HGAT
Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)
fmonti/mgcnn
Multi-Graph Convolutional Neural Networks
zhichunguo/Meta-MGNN
Few-Shot Graph Learning for Molecular Property Prediction
tata1661/PAR-NeurIPS21
Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
tata1661/SHINE-EMNLP21
Codes for SHINE published in EMNLP 2021.