variance
There are 488 repositories under variance topic.
bashtage/arch
ARCH models in Python
MastodonC/kixi.stats
A library of statistical distribution sampling and transducing functions
xrobin/pROC
Display and analyze ROC curves in R
jeroenterheerdt/HADailySensor
Sensor for Home Assistant that gets reset at midnight
EvanDietrich/Quant-Finance-Projects
Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.
keblu/MSGARCH
MSGARCH R Package
samplics-org/samplics
Select, weight and analyze complex sample data
SargisYonan/uKal
Micro Kalman Filter for linear and nonlinear systems
sir-wabbit/leibniz
Leibniz equivalence and Liskov substitutability library for Scala.
10mohi6/portfolio-backtest-python
portfolio-backtest is a python library for backtest portfolio asset allocation on Python 3.7 and above.
ledell/cvAUC
Computationally efficient confidence intervals for cross-validated AUC estimates in R
heal-research/vstat
SIMD-enabled descriptive statistics (mean, variance, covariance, correlation)
axiomhq/variance
Go implementation of variance's method for one-pass variance computation with D. H. D. West improved methods which features merging of several multiple sets of statistics and adding weighted values.
microprediction/momentum
Running mean, variance, skew, and kurtosis
anthropedia/tci-stats
statistics module used for the TCI
lukem512/anova
Analysis of Variance (ANOVA)
AlexandreHiroyuki/DataTome
Data analysis and filtering using time series for embedded devices (IoT). All in a single C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.
CSBLatvia/vardpoor
Variance Estimation for Sample Surveys by the Ultimate Cluster Method
tupol/online-stats
Online statistics implementations, including average, variance and standard deviation; exponentially weighted versions as well.
stdlib-js/stats-anova1
Perform a one-way analysis of variance.
cossio/TruncatedNormal.jl
Compute mean and variance of the univariate truncated normal distribution (works far from the peak).
dumebi/Predicting-Boston-Housing-Prices
Udacity Machine Learning Course Predicting Boston Housing Prices
pub-calculator-io/standard-deviation
Free WordPress Plugin: Given a discrete data set, the calculator calculates the mean, variance, and standard deviation of a sample or a population and shows all the intermediate steps of calculations. www.calculator.io/standard-deviation/
Devin-Taylor/gpcnn
Uncertainty in convolutional neural network predictions using Gaussian processes
lin-tan/dl-variance
For our ASE20 paper 🏆 "Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance" (🏆 Distinguished Paper Award!) by Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan
Saket-Kr/ML-Prep
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.
gissimo/nsc
Python implementation of the Nearest Subclass Classifier (NSC), based on Maximum Variance Clusters (MVC).
kofes/satellite_image_analyze
Satellite library(fft, variogram,...)
lin-tan/fairness-variance
For our NeurIPS21 paper "Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training" by Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, and Sameena Shah
pub-calculator-io/variance-calculator
Free WordPress Plugin: Given a discrete data set representing a sample or a population, the calculator calculates the mean, variance, and standard deviation and displays the workflow involved in the calculation. www.calculator.io/variance-calculator/
bemoregt/wwDeblurness
Detect Deblurness of image for Openframeworks.
infovillasimius/imadvfilter
Advanced Adaptive Spatial Local Filter
lin-tan/DEVIATE
For our ASE21 tool paper "DEVIATE: A Deep Learning Variance Testing Framework" by Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan.
s07308/Two-Sample-Inference-with-Tau
Kendall's Tau for Two-Sample Inference Problems
shilangyu/dart-variance-hack
Small overview of subtyping and variance in Dart motivated by a real example.
ZhangXiao96/OptimizationVariance
This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"