📊 Computation and processing of models' parameters
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Updated
Jun 3, 2024 - R
📊 Computation and processing of models' parameters
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
Robust freeform surface modeling from user 2d sketches.
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
Tidy data frames and expressions with statistical summaries 📜
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
Robustats is a Python library for high-performance computation of robust statistical estimators.
Defending Against Backdoor Attacks Using Robust Covariance Estimation
Direct and robust methods for outlier detection in linear regression
A small collection of lesser-known statistical measures
Robust Gaussian Process with Iterative Trimming
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders
Solve many kinds of least-squares and matrix-recovery problems
📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
Robust estimations from distribution structures: Mean.
Robust statistics in Python
robust optimization
R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression
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