GitHub
plantuml-examples
PlantUML eaxmples for UML, ERD, wireframes, mind maps, JSON, YAML, WBS, ASCII art, Gantt charts, C4 models, and more
zigma
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
neuropythy
A neuroscience library for Python, intended to complement the existing nibabel library.
@stdlib/stats-base-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
https://github.com/arm-doe/arm-test-data
Test data for the atmospheric data community toolkit (ACT)
r-hrbrthemes
:lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components
bdc
Check out the vignettes with detailed documentation on each module of the bdc package
minrf
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
@stdlib/blas-ext-base-gnannsumkbn
Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-ssort2sh
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
@stdlib/stats-base-dmeanli
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-smeankbn2
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dsnanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.
nestarchorg
Research Compendium for the preprint DOI: https://doi.org/10.1101/2022.06.30.498314
paper-2024-amr-paired-rk
Reproducibility repository for the paper "Multirate Time-Integration based on Dynamic ODE Partitioning through Adaptively Refined Meshes for Compressible Fluid Dynamics"
Kinematics-vis
Kinematics-vis: A Visualization Tool for the Mathematics of Human Motion - Published in JOSS (2021)
mat-tfer-pma
MATLAB functions to evaluate the transfer function for particle mass analyzers, including the centrifugal particle mass analyzer (CPMA) and aerosol particle mass analyzer (APM).
ottar
Ode To Transient Ancho de los Rivers: Transient evolution of river-channel width in response to river discharge and bank and sediment properties.
ambit-stochastics
A repository dedicated to the study of Ambit fields and Trawl processes
@stdlib/stats-base-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-meankbn2
Calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.
vitdet
Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"
https://github.com/aiidateam/aiida-hyperqueue
AiiDA plugin for the HyperQueue metascheduler.
pommesdispatch
A bottom-up fundamental power market model for the German electricity sector
hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
SpotClean
R package for decontaminating the spot swapping effect and recovering true expression in spatial transcriptomics data
@stdlib/blas-ext-base-dnansumkbn2
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-scusumkbn2
Calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-sstdevch
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-sasumpw
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-gnansumkbn2
Calculate the sum of strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
proplib-lfmf
NTIA/ITS C++ implementation of Low Frequency / Medium Frequency (LF/MF) Propagation Model. The LF/MF model predicts basic transmission loss in the frequency range 0.01 - 30 MHz for propagation paths over a smooth Earth and antenna heights less than 50 meters.
galibrate
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
@stdlib/stats-base-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dvariancech
Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-svariancewd
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
mephisto
A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.
mst_clustering
mst_clustering: Clustering via Euclidean Minimum Spanning Trees - Published in JOSS (2016)
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-snanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/stats-base-stdevyc
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/random-iter-minstd
Create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
nrhints
Official Code Release for [SIGGRAPH 2023] Relighting Neural Radiance Fields with Shadow and Highlight Hints
bsk_rl
RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab.
socialforce
Differentiable Social Force simulation with universal interaction potentials.
nanopub-py
Python client for searching, publishing and modifying nanopublications.
seppy
A compendium of Python data loaders and analysis tools for in-situ measurements of Solar Energetic Particles (SEP)
https://github.com/alleninstitute/micronsbinder
A collection of notebooks to provide examples of using Microns-explorer.org datasets
tutorial-shell
Tutorial Linux Bash Shell berdasarkan materi oleh Software carpentry
hydrotools
Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
sbom-2023
Experimental Data about Java SBOMs https://arxiv.org/pdf/2303.11102.pdf
@stdlib/blas-ext-base-gapxsumkbn2
Add a constant to each strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
napari-filament-annotator
Annotation of filaments and other curvilinear structures in 3D.
sorsa
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
pyet-mc
Collection of routines for modelling the energy transfer processes in lanthanide doped materials.
dione
Dione is an anonymize and encrypted messaging system build on top on a peer to peer layer.
pvdegradationtools
Set of tools to calculate degradation responses and degradation related parameters for PV.
neurips21-self-supervised-bug-detection-and-repair
Replication Code for "Self-Supervised Bug Detection and Repair" NeurIPS 2021
@stdlib/stats-base-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevch
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.