https://github.com/azazh/storeforecast • Science 13%

avf • Science 44%

This is a repository that implements a workflow for whole genome alignment (mainly for bacteria assembly data with a ".fna" file), variant calling and format conversion (VCF to STRUCTURE, Pritchard) setting up the dataset in a suitable format for bayesian clustering analysis.

nf-ase • Science 44%

Allele Specific Expression pipeline using STAR, WASP and GeneiASE.

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isgc • Science 31%

NextFlow wrapper and workflow for in-situ gene coverage scripts

object-detection-by-efficientdet • Science 18%

DATASET: https://universe.roboflow.com/hochschule-karlsruhe/unitysemseg/dataset/2 RESEARCH PAPER: https://drive.google.com/file/d/12hN5kOQ0N7-tpssuB5kKZBrYRfn8v0qI/view?usp=drive_link

genericinfectiousdiseasemodels • Science 44%

- • Science 54%

cfdna_hunter • Science 18%

grace-ontology • Science 67%

The official GRACE ontology

https://github.com/amir22010/botorch • Science 10%

Bayesian optimization in PyTorch

.github • Science 31%

https://github.com/amazon-science/assaying-ood • Science 36%

pysim5g • Science 31%

Python Simulator for Integrated Modelling of 5G (pysim5g)

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https://github.com/ccao-data/data-architecture • Science 26%

Codebase for CCAO data infrastructure construction and management

https://github.com/amazon-science/mada_optimizer_search • Science 36%

Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"

https://github.com/azeemk210/pygmt • Science 13%

PyGMT is a Python wrapper for the Generic Mapping Tools (GMT), which is a widely used open-source collection of tools for manipulating geographic and Cartesian data sets and producing high-quality maps and illustrations. PyGMT allows users to leverage GMT's powerful mapping and data processing capabilities directly within Python.

2023-11-28_git_carpentries • Science 18%

CIDS Git carpentries lesson

https://github.com/amazon-science/generalized-fairness-metrics • Science 10%