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
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
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
Python tool to manipulate Gaussian cube files
Python tools for automating routine tasks encountered when running quantum chemistry computations.
Quick Reaction Coordinate using Python
📶 Using Python to simulate multipath fading channel
Detects anomalous resting heart rate from smartwatch data.
Plotting dispersion of dust particles emerging from chimney stacks using Gaussian Plume Dispersion Model
Stand-alone thermochemistry in python for ORCA and Gaussian.
Gaussian Naive Bayes (GaussianNB) classifier
Multivariate Gaussian distributions for Tensorflow.
Routines for exploratory data analysis.
Pynkowski is a Python package to compute Minkowski Functionals, as well as their expected values for different fields.
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