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inefficient-networks's Introduction

𝗜𝗻𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀

Build Status Last Commit python jupyter-book Stars

A collection of notebooks on machine learning engineering and operations.❚

Entry point: 𝗜𝗻𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 website


The name of this collection comes from the following study:

Brackbill D, Centola D (2020) Impact of network structure on collective 
learning: An experimental study in a data science competition. PLoS ONE 
15(9): e0237978. https://doi.org/10.1371/journal.pone.0237978

Dependencies

aiofiles                      0.8.0
alembic                       1.8.0
boto3                         1.24.12
cmaes                         0.8.2
docker                        5.0.3
docker-compose                1.25.5
fastapi                       0.75.2
Flask                         2.1.2
httpie                        3.1.0
isort                         5.10.1
joblib                        1.1.0
jupyter-book                  0.13.0
kaggle                        1.5.12
kaleido                       0.2.1
keras                         2.8.0
loguru                        0.5.3
matplotlib                    3.5.1
mlflow                        1.26.1
mlxtend                       0.19.0
numpy                         1.22.4
optuna                        2.10.0
pandas                        1.4.2
pandera                       0.10.1
pip                           22.0.4
pipenv                        2022.6.7
plotly                        5.7.0
prefect                       2.0b5
pyarrow                       7.0.0
pydantic                      1.8.2
regression-model-template     0.1.0
scikit-learn                  1.0.2
scipy                         1.8.1
seaborn                       0.11.2
SQLAlchemy                    1.4.37
starlette                     0.17.1
statsmodels                   0.13.2
tensorboard                   2.8.0
tensorflow-datasets           4.5.2
tensorflow-macos              2.8.0
tensorflow-metadata           1.7.0
tensorflow-metal              0.4.0
tf-estimator-nightly          2.8.0.dev2021122109
toolz                         0.11.2
torch                         1.10.2
torchvision                   0.11.3
tqdm                          4.64.0
uvicorn                       0.17.6
xgboost                       1.5.1

Hardware

Model Name:	                MacBook Air
Model Identifier:	        MacBookAir10,1
Chip:                           Apple M1
Total Number of Cores:          8 (4 performance and 4 efficiency)
Memory:                         8 GB
System Firmware Version:	7429.61.2
OS Loader Version:	        7429.61.2

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