Designing a Reproducible and Collaborative Research Lab
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Updated
Jun 10, 2024 - SCSS
Designing a Reproducible and Collaborative Research Lab
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows πΈοΈπ§ͺ
Code for Mobile Tartu 2024
Repository for collecting materials from nwb hackathons
A DSL for data-driven computational pipelines
ENCORE: Enhancing Computational Reproducibility (Version 4.1)
CoLRev: An open-source environment for collaborative reviews
π Build and manage real-life ML, AI, and data science projects with ease!
Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python
Test-run of our reproducibility protocol on Allen et al. 2020: "A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic"
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
Presentation-Ready Data Summary and Analytic Result Tables
This is a course on software documentation for researchers developed by the Research Software Engineering team and IT Services at the University of Sheffield.
Network Performance Framework: easy-to-use experiment manager with automated testing, result collection, and graphing
R Simmer implemention of the treatment simulation model
ACES: Automatic Cohort Extraction System for Event-Streams
Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb
βοΈ π π π Evaluating state of the art in AI
A systematic/quantitative review of articles, which provides a basis for identifying what has been done so far in the field of plant pathology research reproducibility and suggestions for ways to improving it.
π Paper: Forest management could accelerate tree range shifts
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