GitHub
lagrangian-filtering
Temporal filtering of data in a Lagrangian frame of reference.
@stdlib/stats-base-varianceyc
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/blas-ext-base-snansumpw
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/stats-base-meanwd
Calculate the arithmetic mean of a strided array using Welford's algorithm.
phyloplace
nf-core/phyloplace is a bioinformatics best-practice analysis pipeline that performs phylogenetic placement with EPA-NG.
@stdlib/stats-base-smeankbn
Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
neoantigen-pipeline
Pipeline for computing neoantigen qualities from DNA and RNA-Seq data
nerlnet
Nerlnet is a framework for research and development of distributed machine learning models on IoT
Piccolo
A Julia package for solving quantum optimal control problems using direct trajectory optimization.
https://github.com/alan-turing-institute/robots-in-disguise
Information and materials for the Turing's "robots-in-disguise" reading group on fundamental AI research.
@stdlib/stats-base-nanstdevpn
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
PowerSimulations.jl
Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
@stdlib/blas-ext-base-sdsnansumpw
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation with extended accumulation.
@stdlib/stats-base-sstdevpn
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/random-streams-minstd
Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
https://github.com/cbg-ethz/pangolin
BSSE COVID-19 sequencing of test swab samples
adjustedCurves
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.
@stdlib/blas-ext-base-ssort2hp
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.
vivarium-public-health
Vivarium microsimulation tools used to model diseases and interventions.
https://github.com/chrisgrieser/nvim-kickstart-python
A launch point for your nvim configuration for Python
@stdlib/stats-base-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsmeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-smeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
@stdlib/stats-base-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dsmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dstdevyc
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
HYBRID
HYBRID is a modeling toolset to assess the integration and economic viability of Integrated Energy Systems (IES).
wikibasemigrator
A Python module to migrate entities from one Wikibase instance to another
gridmeta
A repository for extracting dehydrated metadata for distribution power grid model.
@stdlib/stats-base-dsnanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.
@stdlib/stats-base-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
vipera
A Snakemake workflow for SARS-CoV-2 Viral Intra-Patient Evolution Reporting and Analysis
@stdlib/stats-base-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-variancewd
Calculate the variance of a strided array using Welford's algorithm.
spynal
Spynal: The Simple Python Neural Analysis Library. The backbone of your neural data analysis pipeline.
https://github.com/dair-ai/ml-papers-of-the-week
🔥Highlighting the top ML papers every week.
https://github.com/root-project/root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
https://github.com/exalearn/colmena
Library for steering campaigns of simulations on supercomputers
awesome-drug-discovery-knowledge-graphs
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
basicvsr_plusplus
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
@stdlib/blas-ext-base-sdsapxsumpw
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation.
@stdlib/stats-base-snanstdevtk
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
pyjac
Creates C and CUDA analytical Jacobians for chemical kinetics ODE systems
oct-to-tiff
A command line tool for converting optical coherence tomography angiography (OCTA) data.
mqt.predictor
MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
@stdlib/stats-base-svarianceyc
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
modelicatableadditions
📊 Extension of the CombiTable look-up table blocks of the Modelica Standard Library to additionally support cubic interpolation and reading of CSV, EPW (EnergyPlus Weather) and JSON files
@stdlib/blas-ext-base-dsort2hp
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.
@stdlib/random-iter-improved-ziggurat
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
@stdlib/stats-base-dvarianceyc
Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
mfd
:package: A Computation of Functional Spaces and Functional Diversity Indices
vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10 / cifar 100!
https://github.com/cgohlke/lfdfiles
Laboratory for Fluorescence Dynamics (LFD) file formats.
x-anylabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
soltrack
The Python version of the SolTrack code to compute the position of and track the Sun.
@stdlib/stats-base-dmeanlipw
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
@stdlib/stats-base-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
https://github.com/alan-turing-institute/neuro-ai-reading-group
Space to collate materials related to the Neuroscience-AI reading group