GitHub
ritme
Target-driven optimization of feature representation and model selection for next-generation sequencing data
mztap
mz Feature Table Processing (mzTaP): Functions to help impute, denoise, and normalize a mass feature table.
stats-strided-snanmax
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
stats-strided-dnanstdevtk
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
com.cefriel
A template-based component exploiting Apache Velocity to define declarative mappings for schema and data transformations.
sqaaas-reporting-plugins
Officially supported output validators for the SQAaaS platform
@stdlib/stats-base-dstdevtk
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
private-pgd
Implementation for the paper "Privacy-preserving data release leveraging optimal transport and particle gradient descent"
metaflowx
MetaflowX: A Scalable and Resource-Efficient Workflow for Multi-Strategy Metagenomic Analysis
@stdlib/blas-ext-base-gnansumpw
Calculate the sum of strided array elements, ignoring NaN values and using pairwise summation.
constants-float32-sqrt-half
Square root of 1/2 as a single-precision floating-point number.
howtospinfoamamplitude
Notebooks and data with practical introduction to numerical computations of spinfoam amplitudes in LQG.
monte_carlo_spinfoams
Codes, notebooks and data for the computation of the self-energy and vertex renormalization spinfoam amplitudes. The algorithm is based on Monte Carlo simulations.
modernstats_r
The UNECE ModernStats proposal for using R in Official Statistics. This website is in pre-alpha
@stdlib/complex-float32-base-assert-is-same-value-zero
Test whether two single-precision complex floating-point numbers are the same value.
stats-incr-nanmaxabs
Compute a maximum absolute value incrementally, ignoring NaN values.
taxonomicfiltering
A pipeline to use metagenomic classifiers, in this case Kraken2, to filter raw sequence reads by taxonomic classification.
random-tools-binary
Constructor for creating ndarrays filled with pseudorandom values drawn from a binary PRNG.
hedy
Hedy is a gradual programming language to teach children programming. Gradual languages use different language levels, where each level adds new concepts and syntactic complexity. At the end of the Hedy level sequence, kids master a subset of syntactically valid Python.
@stdlib/array-base-binarynd
Apply a binary callback to elements in n-dimensional nested input arrays and assign results to elements in an n-dimensional nested output array.
@stdlib/array-base-assert-is-complex128array
Test if a value is a Complex128Array.
ready4use
Data management tools for use with the ready4 suite of mental health synthesis and simulation tools
a3partitioner
A bioinformatics tool for creating APOBEC3 and non-APOBEC3 partitions from sequence alignments.
data-dictionary-r
A short tutorial for data description, summary, and validation in R.
1lab
A formalised, cross-linked reference resource for mathematics done in Homotopy Type Theory
doc_projekt-labor_soc
Documentation Projekt-Labor State of Charge (SOC) with KalmanFilter (KF) for Lead Acid
projetoti-livros-viajantes
Sistema de gerenciamento de livros, para o projeto Livros Viajantes
ramen
Regional Association of Methylation variability with the Exposome and geNome (RAMEN) is an R package whose goal is to identify Variable Methylated Regions (VMRs) in microarray DNA methylation data. Additionally, using Genotype (G) and Environmental (E) data, it can identify which G, E, G+E or GxE model better explains this variability.
bundoora
Customized development container environment for consistent and efficient execution of machine learning projects.
stats-strided-snanmskrange
Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
sakshaatkar
This is a Deep Learning Application Implementing AVA-CL (Audio-Visual Attention with Contrastive Learning) for Deep Fake Detection for e KYC.
@stdlib/array-base-quaternary3d
Apply a quaternary callback to elements in four three-dimensional nested input arrays and assign results to elements in a three-dimensional nested output array.
segmentationmetrics
Generate segmentation accuracy metrics based on binary masks
habpil_inundation_r
This repository contains all R code for the inundation case in the Biodiversa Habitats Pilot
seuratexplorer
An interactive R shiny application for exploring scRNAseq data processed in Seurat
nest-status-plotter
Nest network status plotter for activity visualization over time
green_trucking_analysis
Analysis code leveraging work by Prof. William H. Green's group to assess trucking feasibility
biobb_wf_pmx_tutorial
This tutorial aims to illustrate how to compute a fast-growth mutation free energy calculation, step by step, using the BioExcel Building Blocks library (biobb).
template
Template for a model module library written with the ready4 framework
datensatzbeschreibung_fdz_gesundheit
Dieses Repository enthält eine vorläufige Datensatzbeschreibung, welche über die Struktur der in Zukunft über das FDZ Gesundheit zugänglichen Daten informiert.
sand-aflpp
Paper and implementation of "SAND: Decoupling Sanitization from Fuzzing for Low Overhead"
pyrheo
A Python package for modeling linear viscoelasticity with fractional rheology models
schwarzschild-black-string-perturbations
Mathematica notebooks to calculate metric perturbations of the Schwarzschild and black string spacetimes
deepsleep2
😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.
chf_container
Container set-up capable of running CHF-based web applications based on a Compose file
readdiag
readDiag is a Python package that provides a class to read and plot the Gridpoint Statistical Interpolation (GSI) diagnostics files. It can be used to retrieve and investigate important information from the data assimilation process
sparklen
A statistical learning toolkit for high-dimensional Hawkes processes in Python
https://github.com/activeinferenceinstitute/cerebrum
CEREBRUM: Case-Enabled Reasoning Engine with Bayesian Representations for Unified Modeling