Hyper-Extract. Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
3kontomem. Self-consolidating semantic memory for AI agents with Pydantic schemas, intelligent deduplication, and FAISS vector search.
18OS-MN40-Example. Python
15Pathology. Python
8multi-modal-generation-for-shrec22. Multi-modal data generation for 3D objects.
7ontosight. A lightweight yet powerful Python library designed to bridge the gap between static graph/hypergraph visualizations and dynamic AI-driven exploration.
7coding. coding paper code.
6kfbslide. 纯 Python KFB(KFBio)数字病理切片读取库,提供与 OpenSlide 完全兼容的 API
6dhg-page-source. The website source code for DeepHypergraph library.
5OS3D. Python
5helloWorld. start
33D-Machine-Learning. A resource repository for 3D machine learning
2VGCNN. Python
2GNNPapers. Must-read papers on graph neural networks (GNN)
2pc_viz. utils for pointclouds visualization
2math. 以现在人的努力程度之低,还谈不到拼天赋的时候
2off_render. render .off file to 2d images
2VoxelNet-pytorch. Python
1mnet. Python
1academic-yifan. Shell
1pointnet.pytorch. pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
1iops. Python
1Pathology_RJ_V2.
1Pathology_SJ_V1.
1mvcnn_clustering.
1visdom. A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
1Pathology_SJ_V2.
1learngit. learn git (tmp rep)
1Simulation-cell. Simulate a district traffic flow
1