The basic distribution probability Tutorial for Deep Learning Researchers
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Updated
Oct 1, 2020 - Python
The basic distribution probability Tutorial for Deep Learning Researchers
Image Processing techniques using OpenCV and Python.
🎩 An easy and fast library to apply gaussian blur filter on any images.
Production-grade 3D gaussian splatting with CPU/GPU support for Windows, Mac and Linux 🚀
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. )
Calculate quasi-harmonic free energies from Gaussian output files with temperature and other corrections
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Quick Reaction Coordinate using Python
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
Python tool to manipulate Gaussian cube files
Visualization of Gibbs sampling for 2D Gaussian distribution
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Plotting dispersion of dust particles emerging from chimney stacks using Gaussian Plume Dispersion Model
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