There are 6 repositories under gaussian topic.
The basic distribution probability Tutorial for Deep Learning Researchers
Production-grade 3D gaussian splatting with CPU/GPU support for Windows, Mac and Linux 🚀
🎩 An easy and fast library to apply gaussian blur filter on any images.
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
This is a 3DGS(3D Gaussian Splatting) viewer built on Three.js, with features for marking, measurements, text watermarks, etc.
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
Image Processing techniques using OpenCV and Python.
Fast GPU deNoise spatial filter, with circular gaussian kernel, full configurable
A fast, almost Gaussian Blur implementation in Go
Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections
Gaussian Process package based on data augmentation, sparsity and natural gradients
This repository tracks the latest advancements in 3D Gaussian Splatting from Arxiv, with daily automated updates. Stay up-to-date with cutting-edge research in this exciting field!
The official implementation of "Human101: Training 100+FPS Human Gaussians in 100s from 1 View".
🎉 Official code release of "TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors" (ACM MM 2025).
Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]
A program implementing the Hartree–Fock (also post-HF: MP2, CCSD(T), CIS and TDHF/RPA)/self-consistent field method (also DIIS) with Gaussian orbitals
A collection of image effects for Unity.
Python tools for automating routine tasks encountered when running quantum chemistry computations.
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
Python tool to manipulate Gaussian cube files
pyiron_atomistics - an integrated development environment (IDE) for atomistic simulation in computational materials science.
A repository for calculating Molecular Integrals, based on O-ohata method (1966) and Macmurchie-Davidson (1971)
Plotting dispersion of dust particles emerging from chimney stacks using Gaussian Plume Dispersion Model
Uniform, Explicit and Implicit Laplacian Mesh Smoothing
Parallelized Image manipulation effects, written in Go
waveform LiDAR data processing and analysis
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
Detects anomalous resting heart rate from smartwatch data.
:signal_strength: Using Python to simulate multipath fading channel