libra

Ergonomic machine learning for everyone.

https://github.com/palashio/libra

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
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.zenodo.json file
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DOI references
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Academic publication links
✓
Committers with academic emails
3 of 32 committers (9.4%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (17.6%) to scientific vocabulary

Keywords

auto-ml machine-learning neural-networks

Keywords from Contributors

interactive packaging embedded serializer numeric network-simulation human shellcodes hacking autograding

Last synced: 6 months ago · JSON representation

Repository

Ergonomic machine learning for everyone.

Basic Info

Host: GitHub
Owner: Palashio
License: mit
Language: Python
Default Branch: master
Homepage: http://libradocs.org/
Size: 182 MB

Statistics

Stars: 1,916
Watchers: 87
Forks: 110
Open Issues: 58
Releases: 0

Topics

auto-ml machine-learning neural-networks

Created almost 6 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing Funding License Code of conduct

# Libra **An ergonomic machine learning library for non-technical users. Save time. Blaze through ML.** [![Build Status](https://travis-ci.org/Palashio/libra.svg?branch=master)](https://travis-ci.org/Palashio/libra) [![Downloads](https://pepy.tech/badge/libra)](https://pepy.tech/project/libra) [![Slack](https://img.shields.io/badge/slack-chat-green.svg?logo=slack)](https://join.slack.com/t/the-libra-team/shared_invite/zt-ek6bpd47-hdIxXlRAenKfy5JNWe8bgw) [![PyPi](https://img.shields.io/badge/pypi%20package-1.0.0-blue)](https://pypi.org/project/libra/) [![Release](https://img.shields.io/badge/Next%20Release-Sep%2012-green)](https://pypi.org/project/libra/) [![Website shields.io](https://img.shields.io/website-up-down-blue-red/http/shields.io.svg)](https://libradocs.github.io//) [![Issues](https://img.shields.io/github/issues/Palashio/libra)]()

Check out our newer machine learning tool Nylon!

Installation

Install latest release version:

pip install -U libra

Install directory from github:

git clone https://github.com/Palashio/libra.git cd libra pip install .

Alternatively you can build and use the docker image locally with:

docker build . -f docker/libra-normal/Dockerfile -t libra docker run -v /path/to/my/data:/data -it --rm libra

Or if you have nvidia-docker installed.

docker build . -f docker/libra-gpu/Dockerfile -t libra-gpu docker run -v /path/to/my/data:/data --gpus all -it --rm libra-gpu

Usage: the basics

The core functionality of libra works through the client object. A new client object should be created for every dataset that you want to produce results for. All information about the models that're built, the plots that are generated, and the metrics are created will be stored in the object.

You can then call different queries on that client object, and the dataset you passed to it will be used.

```python from libra import client

newClient = client('path/to/dataset') newClient.neuralnetworkquery('please model the median number of households') Now, callingpython newClient.info() ``` will return a dictionary of all the information that was generated:

python dict_keys(['id', 'model', 'num_classes', 'plots', 'target', 'preprocessor', 'interpreter', 'test_data', 'losses', 'accuracy'])

Other queries can also be called on the same object, and will be appended to the models dictionary.

```python newClient.svm_query('predict the proximity to the ocean') newClient.model().keys()

dictkeys(['regressionANN', svm']) ```

Tutorials

Full documentation can be found at libradocs.org.
A list of resources can be found on our awesome-libra repository.

Asking for help

Welcome to the Libra community!

If you have any questions, feel free to: 1. read the docs. 2. Search through the issues. 3. Ask on stackoverflow with the tag libra. 4. Join our slack.

Demos

alt-text

Contact

Shoot me an email at ps9cmk@virginia.edu if you'd like to get in touch!

Follow me on twitter for updates and my insights about modern AI!

Owner

Name: Palash Shah
Login: Palashio
Kind: user
Location: Herndon, Virginia
Company: Ideaflow

Website: palashshah.me
Twitter: _pshah
Repositories: 3
Profile: https://github.com/Palashio

computer vision

GitHub Events

Total

Issues event: 5
Watch event: 9
Issue comment event: 1
Push event: 2
Pull request event: 1
Fork event: 2

Last Year

Issues event: 5
Watch event: 9
Issue comment event: 1
Push event: 2
Pull request event: 1
Fork event: 2

Committers

Last synced: 9 months ago

All Time

Total Commits: 1,047
Total Committers: 32
Avg Commits per committer: 32.719
Development Distribution Score (DDS): 0.591

Past Year

Commits: 0
Committers: 0
Avg Commits per committer: 0.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Palash Shah	3****o	428
Anas Awadalla	a**2@c**u	121
abx393	a**9@g**m	97
Sarthak Chauhan	s**n@e**n	90
Ramya B	r**m@v**u	50
jbofill10	j**0@g**m	28
Vakhshoori101	v**1@g**m	25
hack_boi	v**0@g**m	23
pahuja-gor	3****r	20
Vakhshoori101	v**1@g**m	19
Sukkrit Sharma	s**l@g**m	19
vyathakavilocana	4****a	16
yash19062000	5****0	13
SidAkalwadi	3****i	12
Umang Jain	j**n@g**m	10
Vagif	v**3@g**m	10
dikshantj	d**a@o**m	10
Sarthak Chauhan	4****k	9
devashish9	3****9	7
Kartik Chugh	k**c@g**m	7
Ali Aryan	3****n	6
Pragun Ananda	p**a@g**m	6
Piyush1416	p**o@g**m	4
dependabot[bot]	4****]	4
Vraj Desai	v**9@g**m	4
Dominik Moritz	d**z@g**m	2
James Choa	t**e@g**m	2
Pranav Teegavarapu	p**t@o**m	1
Troy Good	t**3@g**m	1
Sukkrit Sharma	s**a@S**l	1
and 2 more...

Committer Domains (Top 20 + Academic)

rap.ventures: 1 virginia.edu: 1 es.iitr.ac.in: 1 cs.washington.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 44
Total pull requests: 57
Average time to close issues: 10 days
Average time to close pull requests: 17 days
Total issue authors: 14
Total pull request authors: 25
Average comments per issue: 0.45
Average comments per pull request: 0.28
Merged pull requests: 42
Bot issues: 0
Bot pull requests: 11

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

Palashio (16)
anas-awadalla (11)
fredzannarbor (5)
sukkritsharmaofficial (3)
Vakhshoori101 (2)
cclauss (1)
wro878 (1)
Vintoki (1)
abx393 (1)
willeppy (1)
nsankar (1)
shakhuz (1)
veerukrani (1)
KartikChugh (1)

Pull Request Authors

dependabot[bot] (11)
Abhilash2000 (6)
sukkritsharmaofficial (5)
abx393 (4)
anas-awadalla (4)
Vagif12 (3)
Vakhshoori101 (2)
domoritz (2)
KartikChugh (2)
devashish9 (2)
a10mic (2)
tgood13 (1)
ugolbck (1)
kamranmajid41 (1)
umangj123 (1)

Top Labels

Issue Labels

stat:in-progress (13) language (10) data (8) core-ai (6) structural (3) enhancement (2)

Pull Request Labels

dependencies (11) language (4) stat:in-progress (1) open-swe (1)

Packages

Total packages: 2
Total downloads:
- pypi 234 last-month

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 4
(may contain duplicates)
Total versions: 20
Total maintainers: 1

pypi.org: libra

Ergonomic machine learning

Homepage: https://github.com/Palashio/libra
Documentation: https://libra.readthedocs.io/
License: MIT License
Latest release: 1.2.5
published over 5 years ago

Versions: 18
Dependent Packages: 0
Dependent Repositories: 3
Downloads: 218 Last month

Rankings

Stargazers count: 1.6%

Forks count: 4.4%

Dependent repos count: 9.0%

Average: 9.1%

Dependent packages count: 10.0%

Downloads: 20.5%

Maintainers (1)

palashshah

Last synced: 6 months ago

pypi.org: roboflowtest

Ergonomic machine learning

Homepage: https://github.com/Palashio/libra
Documentation: https://roboflowtest.readthedocs.io/
License: MIT License
Latest release: 0.0.2
published over 4 years ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 16 Last month

Rankings

Stargazers count: 1.6%

Forks count: 4.4%

Dependent packages count: 10.0%

Average: 15.4%

Dependent repos count: 21.7%

Downloads: 39.4%

Maintainers (1)

palashshah

Last synced: 6 months ago

Dependencies

requirements.txt pypi

altair ==4.1.0
autocorrect *
colorama *
download *
jellyfish *
keras ==2.4.3
keras-tuner *
matplotlib *
nltk *
numpy *
opencv-python *
pandas *
pillow *
prince *
seaborn *
sklearn *
spacy *
streamlit ==0.64.0
tabulate *
tensorflow-gpu ==2.5.2
tensorflowjs *
textblob *
transformers ==3.0.2
xgboost *

docker/libra-gpu/Dockerfile docker

tensorflow/tensorflow 2.2.0-gpu-jupyter build

docker/libra-normal/Dockerfile docker

python 3.6 build

libra

Science Score: 10.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Installation

Usage: the basics

Tutorials

Asking for help

Demos

Contact

Owner

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: libra

Rankings

Maintainers (1)

pypi.org: roboflowtest

Rankings

Maintainers (1)

Dependencies