high-performance graph database for real-time use cases

Ray tracing and hybrid rasterization of Gaussian particles

a compilation of commercially usable game ready retro style 3d graphic assets

Runkeeper design switch control

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)

Dgrm.net - flowchart editor. Works on desktop, phone and tablet. Has no dependency. Pure JavaScript.

A lightweight, mobile-ready, data-driven, modular grid widget designed for use with dstore

M3DGR: A Multi-sensor, Multi-scenario and Massive-baseline SLAM Dataset for Ground Robots(IROS2025)

Official Dgraph JavaScript client

Container build and runtime tool

My website

Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)

On-scroll animations for perspective image grids with different layouts.

A grid layout with a magnetic hover effect and a content preview animation.

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

Official Dgraph Java client

This is a repository contaning baseline code for DGraphFin Dataset

[ICCV 2025] 3DGraphLLM is a model that uses a 3D scene graph and an LLM to perform 3D vision-language tasks.

Run benchmarks with RDF data

A dgraph client driver written in rust ⛺

Official code release for CVPR 2022 paper D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

A benchmark based on M2DGR and M2DGR-plus dataset with adapted SOTA SLAM algorithms

Decentralized Grant platform that implements quadratic funding.

A playful concept where we use scroll-based animations to create 3D grid effects and other transitions.

Async/Sync gRPC client for Dgraph DB

DgraphQL: Build a GraphQL service from a schema

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

unix datagram support for node.js

React + Vite 搭建, 基于RSAP ScrollTrigger实现的3D滚动动画