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[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
deep-learning time-series pytorch forecasting linear-models aaai time-series-prediction time-series-forecasting forecasting-model aaai2023
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
panel regression ols gmm iv linear-models asset-pricing panel-data fixed-effects random-effects instrumental-variable statistical-model between-estimator first-difference clustered-standard-errors pooled-ols panel-models panel-regression seemingly-unrelated-regression fama-macbeth
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
r bookdown knitr r-markdown econometrics textbook linear-models r-programming introduction-to-r d3-visualization datacamp-exercises companion-book applied-economics
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
python nlp npm text-classification jupyter-notebook azure-sdk data-scientists data-analyst linear-models nlp-models visualization-dashboard explainer black-box-explanations local-explanations text-interpretability nlp-scenarios glass-box-explainers grey-box-explainers microsoft-azureml
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
moe mamba linear-models state-space-model mixture-of-experts efficient-architectures linear-attention sparse-attention linear-rnn diffusion-llm
A python library to build Model Trees with Linear Models at the leaves.
machine-learning tree random-forest scikit-learn decision-trees linear-models boosting-tree model-trees
An R Port of Stata's 'margins' Command
Linear, IV and GMM Regressions With Any Number of Fixed Effects
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
machine-learning classification ensemble-learning boosting-algorithms linear-models custom-classifiers
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
data-science cran r statistics linear-regression toolbox rstats data-analysis multilevel-models r-package anova linear-models
Input Output Hidden Markov Model (IOHMM) in Python
python machine-learning time-series scikit-learn supervised-learning semi-supervised-learning sequence-to-sequence graphical-models unsupervised-learning hidden-markov-model statsmodels linear-models sequence-labeling
🎓 Tidy tools for academics
science r statistics research analysis tidyverse academic regression rstats logistic-regression tidy linear-models negative-binomial-regression latent-variables structural-equation-modeling general-linear-model poisson-regression mkearney-r-package robust-regression tidyversity
📊 Methods of Applied Statistics Course Textbook Repository
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
r monte-carlo linear-regression power rstats survival-analysis linear-models design-of-experiments optimal-designs split-plot-designs
Lp modeler written in Rust
Tools for developing OLS regression models
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
Spells for everyday living, also a book -- Models Demystified -- now available!
python machine-learning optimization cross-validation neural-networks regularization r-language tuning-parameters causal-inference linear-models boosting
Learned Sort: a model-enhanced sorting algorithm
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