Stars
A high-performance topological machine learning toolbox in Python
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
The essence of my research, distilled for reusability. Enjoy 🥃!
Parallel reduction of boundary matrices for Persistent Homology with CUDA
Principal Component Anlaysis (PCA) in PyTorch.
A topological machine learning framework based on PyTorch
Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
A Lean Persistent Homology Library for Python
Ripser: efficient computation of Vietoris–Rips persistence barcodes
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
[IROS 2025] SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM
CLI tool for 3D Gaussian splat format conversion and transformation
[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
3DGS Render by KIRI Engine
[TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
[AAAI 2025]: Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
[ICRA 2025] Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems
[IROS 2025] LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction