Resources

Resources

Open-source software, curated datasets, and interactive demos from our lab — built to be reused, extended, and integrated into your own research or products.

[X]Repositories
[X]Datasets
[X]Live Demos
[X]k+Downloads

Software & Code

All repositories are open-source under permissive licenses unless noted. Click a card to view the code, docs, or paper.

⚙️ Active

[Project Name]

One or two sentences describing what this tool does and who it's for — researchers, engineers, or both.

Python MIT License v2.1
🧩 Beta

[Project Name]

Short description of the software, its core feature, and the problem it solves.

PyTorch Apache 2.0
🔧 Archived

[Project Name]

Short description. Note if this has been superseded by a newer tool, and link to it.

R GPL-3.0

Datasets

DatasetDescriptionSizeLicenseLink
[Dataset Name]One-line description of contents and intended use.[e.g. 50GB / 1.2M rows]CC-BY 4.0Download ↓
[Dataset Name]One-line description of contents and intended use.[size]CC-BY-NC 4.0Download ↓
[Dataset Name]One-line description of contents and intended use.[size]MITDownload ↓

Live Demos

🎮 [Demo Name]

Try [tool/model] directly in your browser — no installation required.

Launch Demo →

📊 [Demo Name]

Interactive visualization of [dataset/model output].

Launch Demo →

🤖 [Demo Name]

Hosted notebook — run [model/pipeline] on your own data.

Open Notebook →

Citing Our Work

If you use our software or datasets in your research, please cite:

@article{yourname2026resource,
  title   = {Title of the Paper or Software},
  author  = {Your Name and Collaborators},
  journal = {Venue},
  year    = {2026}
}