tritemio/reproducible_papers tritemio/reproducible_papers

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tritemio/reproducible_papers
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Repository Details

A curated list of computationally reproducible papers.

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1

nbrun

Automate execution of Jupyter Notebooks from another Notebook.
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2

jupyter_notebook_beginner_guide

A brief guide to install and run Jupyter/IPython notebooks
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3

pycorrelate

Fast and accurate cross-correlation over arbitrary time lags. Moved to:
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4

PyBroMo

A simulator for single molecule FRET experiments of freely diffusing particles. Moved to:
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5

FRETBursts

Burst analysis software for smFRET. **Moved to OpenSMFS organization**
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6

pybroom

pybroom, the python's broom to tidy up messy fit results!
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14
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7

nlp_text_generation

Experiments generating text with state-of-the-art deep-learning models (GPT2, Transformer XL, ...)
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12
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8

notebooks

Some IPython Notebooks
Jupyter Notebook
8
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9

parquet-pyarrow-pyconit-2022

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7
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10

euroscipy2018_python_optimization

EuroScipy 2018 Tutorial "A tour of python profiling and optimization"
Jupyter Notebook
6
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11

euroscipy2018_jupyter_reproducibility

Slides on reproducible Jupyter-based workflow.
Jupyter Notebook
4
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12

Jupyter-Python-Workshop-STROBE-2018-02-26

Material for Hands-on Python Workshop, STROBE 2018-02-26
Jupyter Notebook
2
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13

lcos_multispot_pattern

Create a multispot pattern via phase LCOS-SLM. Repository moved to:
Jupyter Notebook
2
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14

48-pixel-SPAD-crosstalk-analysis

Optical crosstalk in SPAD arrays for high-throughput smFRET
Jupyter Notebook
2
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15

pandas_notes

Notes on using pandas (merge, joins, pivot, stack, string ops, etc...)
Jupyter Notebook
2
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16

48-spot-smFRET-PAX-analysis

Data analysis for the 48-spot smFRET-PAX paper
Jupyter Notebook
1
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17

48spot-PAX-manuscript

TeX
1
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18

ml-notes

Machine Learning Notes
Jupyter Notebook
1
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19

multispot_paper

Data analysis for Ingargiola et al. PLOS ONE (2017) doi:10.1101/085027
Jupyter Notebook
1
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20

transfer_convert

Jupyter Notebook
1
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21

FRETBursts_notebooks

Tutorials and usage examples for FRETBursts software
Jupyter Notebook
1
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22

polimi_tcspc_16ch

Data analysis for Ingargiola et al. Proc.SPIE 100710Q
Jupyter Notebook
1
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23

voltagesensing

Data analysis of the voltage-sensing patch-clamp experiment.
Python
1
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