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.
https://github.com/cbg-ethz/pangolin
BSSE COVID-19 sequencing of test swab samples
@stdlib/random-streams-minstd
Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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.
comtypes
A pure Python, lightweight COM client and server framework, based on the ctypes Python FFI package.
https://github.com/chrisgrieser/nvim-kickstart-python
A launch point for your nvim configuration for Python
@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-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-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-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
vipera
A Snakemake workflow for SARS-CoV-2 Viral Intra-Patient Evolution Reporting and Analysis
@stdlib/stats-base-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
@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-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)
opennmt-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
basicvsr_plusplus
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
@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.
@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.
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/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/stats-base-dvarianceyc
Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
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/stats-base-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@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/random-iter-improved-ziggurat
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
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.
mikeio
Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files.
https://github.com/alan-turing-institute/neuro-ai-reading-group
Space to collate materials related to the Neuroscience-AI reading group
@stdlib/stats-base-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
@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.
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