variance

ARCH models in Python

A library of statistical distribution sampling and transducing functions

Display and analyze ROC curves in R and S+

MSGARCH R Package

Leibniz equivalence and Liskov substitutability library for Scala.

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Sensor for Home Assistant that gets reset at midnight

Micro Kalman Filter for linear and nonlinear systems

Select, weight and analyze complex sample data

SIMD-enabled descriptive statistics (mean, variance, covariance, correlation)

statistics module used for the TCI

Analysis of Variance (ANOVA)

Variance Estimation for Sample Surveys by the Ultimate Cluster Method

Online statistics implementations, including average, variance and standard deviation; exponentially weighted versions as well.

Php library for red envelope/packet (红包) what is popular among Chinese.

Udacity Machine Learning Course Predicting Boston Housing Prices

portfolio-backtest is a python library for backtest portfolio asset allocation on Python 3.7 and above.

Compute mean and variance of the univariate truncated normal distribution (works far from the peak).

Satellite library(fft, variogram,...)

A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.

Python implementation of the Nearest Subclass Classifier (NSC), based on Maximum Variance Clusters (MVC).

Detect Deblurness of image for Openframeworks.

Perform Levene's statistical test for equality of group variances.

Uncertainty in convolutional neural network predictions using Gaussian processes

Stochastic tools, distrubution, analysis

is the degree of variation of a trading price series over time

Retrieving, Processing, and Visualizing Data with Python

This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"

Kendall's Tau for Two-Sample Inference Problems

Python crawler that helps fetch temperature of Beijing, China