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r-errum
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public |
Perform a Bayesian estimation of the exploratory reduced reparameterized unified model (ErRUM) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.
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2025-09-28 |
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just
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public |
just is a handy way to save and run project-specific commands.
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2025-09-28 |
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groq
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public |
The official Python library for the groq API
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2025-09-28 |
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r-pagoda2
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public |
Analyzing and interactively exploring large-scale single-cell RNA-seq datasets. 'pagoda2' primarily performs normalization and differential gene expression analysis, with an interactive application for exploring single-cell RNA-seq datasets. It performs basic tasks such as cell size normalization, gene variance normalization, and can be used to identify subpopulations and run differential expression within individual samples. 'pagoda2' was written to rapidly process modern large-scale scRNAseq datasets of approximately 1e6 cells. The companion web application allows users to explore which gene expression patterns form the different subpopulations within your data. The package also serves as the primary method for preprocessing data for conos, <https://github.com/kharchenkolab/conos>. This package interacts with data available through the 'p2data' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/pagoda2>. The size of the 'p2data' package is approximately 6 MB.
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2025-09-28 |
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r-gdistance
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public |
Calculate distances and routes on geographic grids.
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2025-09-27 |
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r-n2r
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public |
Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, <doi:10.1109/TPAMI.2018.2889473>, <arXiv:1603.09320>.
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2025-09-27 |
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wsidata
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public |
Data structures and I/O functions for whole-slide image (WSI).
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2025-09-27 |
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dscribe
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public |
DScribe is a python package for creating machine learning descriptors for atomistic systems.
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2025-09-27 |
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r-asbio
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public |
Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
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2025-09-27 |
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wcurl
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public |
A simple wrapper around curl to easily download files
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2025-09-27 |
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r-tkrplot
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public |
Simple mechanism for placing R graphics in a Tk widget.
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2025-09-27 |
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legend-pygeom-l200
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public |
Geometry model of the LEGEND-200 experimental setup
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2025-09-27 |
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k9s
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public |
🐶 Kubernetes CLI To Manage Your Clusters In Style!
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2025-09-27 |
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drjit
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public |
Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering
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2025-09-27 |
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r-divemove
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public |
Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
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2025-09-27 |
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torchsort
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public |
Fast, differentiable sorting and ranking in PyTorch
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2025-09-27 |
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r-cnorm
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public |
Conventional methods for producing standard scores in psychometrics or biometrics are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. The continuous norming method introduced by A. Lenhard et al. (2016, <doi:10.1177/1073191116656437>; 2019, <doi:10.1371/journal.pone.0222279>) and generates continuous test norm scores on the basis of the raw data from standardization samples, without requiring assumptions about the distribution of the raw data: Norm scores are directly established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost all of the variance in the original norm data sample. An online demonstration is available via <https://cnorm.shinyapps.io/cNORM/>.
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2025-09-27 |
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r-poolfstat
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public |
Functions for the computation of F-, f- and D-statistics (e.g., Fst, hierarchical F-statistics, Patterson's F2, F3, F3*, F4 and D parameters) in population genomics studies from allele count or Pool-Seq read count data and for the fitting, building and visualization of admixture graphs. The package also includes several utilities to manipulate Pool-Seq data stored in standard format (e.g., such as 'vcf' files or 'rsync' files generated by the the 'PoPoolation' software) and perform conversion to alternative format (as used in the 'BayPass' and 'SelEstim' software). As of version 2.0, the package also includes utilities to manipulate standard allele count data (e.g., stored in TreeMix, BayPass and SelEstim format).
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2025-09-27 |
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felupe
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public |
Finite Element Analysis
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2025-09-27 |
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python-telegram-bot
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public |
We have made you a wrapper you can't refuse
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2025-09-27 |
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gersemi
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public |
A formatter to make your CMake code the real treasure
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2025-09-27 |
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dvc-objects
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public |
Library for generic objects used in DVC
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2025-09-27 |
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foamlib
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public |
A Python interface for interacting with OpenFOAM
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2025-09-27 |
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r-rdimtools
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public |
We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on the package, see the paper by You and Shung (2022) <doi:10.1016/j.simpa.2022.100414>.
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2025-09-27 |
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apache-airflow-providers-apache-beam
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public |
Provider package apache-airflow-providers-apache-beam for Apache Airflow
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2025-09-27 |
