ARCH models in Python
Sensor for Home Assistant that gets reset at midnight
Select, weight and analyze complex sample data
Running mean, variance, skew, and kurtosis
statistics module used for the TCI
Udacity Machine Learning Course Predicting Boston Housing Prices
Uncertainty in convolutional neural network predictions using Gaussian processes
Python implementation of the Nearest Subclass Classifier (NSC), based on Maximum Variance Clusters (MVC).
This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"
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.
Retrieving, Processing, and Visualizing Data with Python
Sliding window functions for processing iterative timeseries data in python.
The Transformational Measures (TM) library allows neural network researchers to evaluate the invariance and equivariance of their models with respect to a set of transformations. Support for Pytorch (current) and Tensorflow/Keras (coming).
Génération data et graphs d'une ACP
Laplace distribution variance.
Inverse gamma distribution variance.
Chi-squared distribution variance.
Beta distribution variance.
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