RaDe-GS: Rasterizing Depth in Gaussian Splatting

[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction

[NeurIPS'2024] Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set

An efficient and consistent bundle adjustment for lidar mapping

Monitor Gaussian Splatting additional real-time viewable and differentiable outputs

[NeurIPS 2024 Spotlight] Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"

LiDAR-Inertial 3D Plane Simulator

[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

Stanford CS234 : Reinforcement Learning

Collection of Slides for David Silver's Reinforcement Learning Course on Youtube

YAAC: Another Awesome CV is a template using Font Awesome and Adobe Source Font.

Depth Anything 3

[RA-L 2026] R-VoxelMap: Accurate Voxel Mapping with Recursive Plane Fitting for Online LiDAR Odometry

List of papers studying machine learning through the lens of category theory

A curated list of awesome datasets for SLAM

GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering

[ICRA 2025] Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

[TRO 2025] OmniMap: A General Mapping Framework Integrating Optics, Geometry, and Semantics

[ECCV 2024] RGBD GS-ICP SLAM

ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding

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