Software References
Complete API documentation and usage guides for SSTDV-Project software.
Available Software
BrainShapeToolKit
Python toolkit for brain shape analysis. Provides mesh processing, feature extraction, and statistical analysis tools for neuroimaging data.
DiffAM
Differentiable Appearance Modeling framework. Enables generation and manipulation of image appearance embeddings using deep learning.
VCM
Variable Coverage Model for synthetic data generation with controllable coverage properties.
Quick Links
| Project | Language | License | GitHub |
|---|---|---|---|
| BrainShapeToolKit | Python | MIT | Link |
| DiffAM | Python | MIT | Link |
| VCM | Python | MIT | Link |
Installation
All packages support standard Python installation:
pip install package-name
Or install from source:
git clone https://github.com/SSTDV-Project/PACKAGE_NAME.git
cd PACKAGE_NAME
pip install -e .
Common Dependencies
Most SSTDV-Project packages require:
- Python 3.9+
- NumPy
- SciPy
- PyTorch 2.0+
- Numba (for performance)
Getting Support
- Bug Reports: Open an issue on the respective GitHub repository
- Questions: Use GitHub Discussions
- Contributing: See CONTRIBUTING.md in each repository
Related Repositories
For additional tools, see:
- KIOST-SST-EVL - Sea Surface Temperature Analysis
- DiffuAug - Diffusion-based Data Augmentation
- HF-GAN - High-Frequency GAN
- python-fluid-simulation - Fluid Dynamics Simulation