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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法
Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.
A modular RL library to fine-tune language models to human preferences
A PyTorch Library for Multi-Task Learning
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
一个用于提取简体中文字符串中省，市和区并能够进行映射，检验和简单绘图的python模块
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
🔥🔥 Deep Learning Head Pose Estimation using PyTorch.
High-quality implementations of standard and SOTA methods on a variety of tasks.
A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
LibCity: An Open Library for Urban Spatial-temporal Data Mining
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Riemannian Adaptive Optimization Methods with pytorch optim
Benchmarking Generalized Out-of-Distribution Detection
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
Open-Source Information Retrieval Courses @ TU Wien
利用pandas将excel中数据抽取，以三元组形式加载到neo4j数据库中构建相关知识图谱