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
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
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.
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
The official implementation of "Human101: Training 100+FPS Human Gaussians in 100s from 1 View".
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
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
A repository for calculating Molecular Integrals, based on O-ohata method (1966) and Macmurchie-Davidson (1971)
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