SMTL v0.1.0: Implements L0-constrained Multi-Task Learning and domain generalization algorithms which are coded in Julia allowing for fast coordinate descent and local combinatorial search algorithms.
Spinner v1.1.0: Provides a torch implementation of Graph Net architecture allowing different options for message passing and feature embedding. ODRF v0.0.3: Implements oblique decision random random forests as an ensemble of oblique decision trees which use linear combinations of predictors for partitioning trees. See Allenby, Hardt and Rossi (2019), Kim, Hardt, Kim and Allenby (2022), and Hardt and Kurz (2020) for the underlying theory, and the vignettes on Importing lists of lists and Volumetric Demand and Conjunctive Screening. EconomicsĮchoice2 v0.2.3: Implements choice models based on economic theory, including MCMC based estimation prediction, Hierarchical Multinomial Logit and Multiple Discrete-Continuous (Volumetric) models. (2019) for background and the vignette for examples. See Bengtsson (2022) for background on the parallel methods and README for examples.īirdscanR v0.1.2: Provides functions to extract bird and insect data from Birdscan MR1 SQL vertical-looking radar databases, filter, and process the data into Migration Traffic Rates, e.g. Whitewater v0.1.2: Provides methods for retrieving United States Geological Survey (USGS) water data using sequential and parallel processing. OlympicRshiny v1.0.0: Implements a Shiny App to visualize Olympic Data from 1896 to 2016 residing in a Kaggle Dataset. Ohsome v0.2.1: Implements a client for Heidelberg Institute for Geo information Technology’s OpenStreatMap API and provides functions to analyze the rich data source of OpenStreetMap (OSM) history. Ispdata v1.1: Provides access to data from the Rio de Janeiro Public Security Institute including criminal statistics, data on gun seizures and femicide. There are seven vignettes including Discretized Singular Value Decomposition, Discretized Partial Least Squares, and Discretized Non-negative Tucker Decomposition.ĭhis2r v0.1.1: Implements a connection to DHIS2, a global open-source project coordinated by the HISP Centre at the University of Oslo. For the details see the reference section of GitHub README.md. Computational MethodsĭcTensor v1.0.1: Implements semi-binary and semi-ternary matrix methods based on non-negative matrix factorization (NMF) and singular value decomposition (SVD).
Here are my “Top 40” selections in thirteen categories: Computational Methods, Data, Ecology, Economics, Machine Learning, Mathematics, Medicine, Pharma, Science, Statistics, Time Series, Utilities, and Visualization.
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