The basic distribution probability Tutorial for Deep Learning Researchers
-
Updated
Oct 1, 2020 - Python
The basic distribution probability Tutorial for Deep Learning Researchers
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
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.
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!
Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections
🎉 Official code release of "TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors" (ACM MM 2025).
[NeurIPS2025 Spotlight] Implementation of "GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving"
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
Plotting dispersion of dust particles emerging from chimney stacks using Gaussian Plume Dispersion Model
Quick Reaction Coordinate using Python
Stand-alone thermochemistry in python for ORCA and Gaussian.
Detects anomalous resting heart rate from smartwatch data.
📶 Using Python to simulate multipath fading channel
Routines for exploratory data analysis.
Pynkowski is a Python package to compute Minkowski Functionals, as well as their expected values for different fields.
Add a description, image, and links to the gaussian topic page so that developers can more easily learn about it.
To associate your repository with the gaussian topic, visit your repo's landing page and select "manage topics."