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整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Portable LyX, migrated over from code.google.com/p/lytex
Papers about developing deep Graph Neural Networks (GNNs)
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A Deep Graph-based Toolbox for Fraud Detection
A curated list of adversarial attacks and defenses papers on graph-structured data.
Materials for DGL hands-on tutorial in WWW 2020
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
A pytorch adversarial library for attack and defense methods on images and graphs
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Representation learning on dynamic graphs using self-attention networks
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Generate embeddings from large-scale graph-structured data.
Feature selector is a tool for dimensionality reduction of machine learning datasets
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Benchmarks of approximate nearest neighbor libraries in Python
Approximate Nearest Neighbor Search for Sparse Data in Python!
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
Collection of generative models in Tensorflow
Python package built to ease deep learning on graph, on top of existing DL frameworks.
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)