https://github.com/nipreps/dmriprep

dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
bids bids-apps diffusion-mri magnetic-resonance-imaging preprocessing
Added: over 1 year ago - Last Synced: 11 months ago - Created: March 06, 2019

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  • Owner: nipreps
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https://github.com/hanbnrd/nirsimple

fNIRS signal processing simplified
fnirs preprocessing signal-processing
Added: over 1 year ago - Last Synced: 11 months ago - Created: April 22, 2020

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  • Owner: HanBnrd
  • Stars: 14
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https://github.com/pytorch/torcharrow

High performance model preprocessing library on PyTorch
preprocessing python pytorch
Added: over 1 year ago - Last Synced: 11 months ago - Created: September 27, 2021

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  • Owner: pytorch
  • Stars: 632
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https://github.com/dongrixinyu/jionlp

中文 NLP 预处理、解析工具包,准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
apache2 chinese natural-language-processing ner nlp nlp-parse preprocessing python time-parse time-parsing
Added: over 1 year ago - Last Synced: 11 months ago - Created: March 13, 2020

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  • Owner: dongrixinyu
  • Stars: 3054
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  • Packages: 4
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https://github.com/mlr-org/mlr3pipelines

Dataflow Programming for Machine Learning in R
bagging data-science dataflow-programming ensemble-learning machine-learning mlr3 pipelines preprocessing r r-package stacking
Added: over 1 year ago - Last Synced: 11 months ago - Created: October 10, 2017

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  • Main Language: R
  • Commits: 2222
  • Committers: 26
  • Issues: 94
  • Pull Requests: 68
  • Owner: mlr-org
  • Stars: 130
  • Forks: 25
  • Packages: 1
  • Downloads: 5,540
https://github.com/nirlab-tau/sleepeegpy


eeg eeg-analysis fooof mne-python preprocessing sleep sleep-analysis sleep-eeg sleep-research visualization yasa
Added: over 1 year ago - Last Synced: 11 months ago - Created: November 22, 2022

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  • Main Language: Jupyter Notebook
  • Commits: 81
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  • Owner: NirLab-TAU
  • Stars: 11
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  • Packages: 1
  • Downloads: 24
https://github.com/allenai/smashed

SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.
dataset datasets dict huggingface in-context-learning mappers natural-language-processing nlp pipeline prefix prefix-tuning preprocessing prompting pytorch text torchdata transformer transformers
Added: over 1 year ago - Last Synced: 11 months ago - Created: July 21, 2022

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  • Owner: allenai
  • Stars: 30
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