TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.

A curated list of papers that focus on how to represent Earth data in embedding space — spatial, temporal, or semantic — and how those embeddings behave or are applied.

A curated list of awesome 3D scene generation papers. (arXiv 2505.05474)

AI Stupid Meter - Web Frontend

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

A macOS menu bar application that monitors AI coding assistant usage quotas. Keep track of your Claude, Codex, Antigravity ,and Gemini usage at a glance.

Fast state-of-the-art image and video segmentation in portable C/C++

Code for the Boxer research paper

Depth Anything 3

A GUI client for Windows, Linux and macOS, support Xray and sing-box and others

Worldwide building footprints derived from satellite imagery

Enhanced version of the New York City 3D building model (CityGML) with semantic attributes from the PLUTO data file

Python library for the Tessera embeddings

[CVPR26] TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambr…

Information about procedural city generation

[ICML'26] Official repository of Utonia: Toward One Encoder for All Point Clouds

CKA (Centered Kernel Alignment) implemented in PyTorch

Procedural generation of random urban landscapes.

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.

🐹 Clean, uninstall, analyze, optimize, and monitor your Mac from the terminal.

3D satellite and airborne data archive search and analysis tools for NASA Surface Topography & Vegetation (STV) Precursor Coincident Datasets

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Fast and Pipable Airborne LiDAR Data Tools

A collection of public resources for aerial archaeology: LiDAR, aerial imagery, historic maps, and more

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

AWS Entwine Point Tiles USGS LiDAR Public Dataset GitHub repo

"AI-Trader: 100% Fully-Automated Agent-Native Trading"