proglearn

NeuroData's package for exploring and using progressive learning algorithms

Science Score: 77.0%

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

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
✓
DOI references
Found 3 DOI reference(s) in README
✓
Academic publication links
Links to: arxiv.org, zenodo.org
✓
Committers with academic emails
9 of 52 committers (17.3%) from academic institutions
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (10.7%) to scientific vocabulary

Keywords

classification continual-learning decision-trees deep-learning deep-neural-networks domain-adaptation random-forests transfer-learning

Keywords from Contributors

closember mesh sequences interactive hacking network-simulation

Last synced: 4 months ago · JSON representation ·

Repository

NeuroData's package for exploring and using progressive learning algorithms

Basic Info

Host: GitHub
Owner: neurodata
License: other
Language: Jupyter Notebook
Default Branch: main
Homepage: https://proglearn.neurodata.io
Size: 374 MB

Statistics

Stars: 36
Watchers: 7
Forks: 42
Open Issues: 55
Releases: 7

Topics

classification continual-learning decision-trees deep-learning deep-neural-networks domain-adaptation random-forests transfer-learning

Created almost 6 years ago · Last pushed 10 months ago

Metadata Files

Readme Contributing License Citation

ProgLearn

ProgLearn (Progressive Learning) is a package for exploring and using progressive learning algorithms developed by the neurodata group.

Installation Guide: http://proglearn.neurodata.io/install.html
Documentation: http://proglearn.neurodata.io
Tutorials: http://proglearn.neurodata.io/tutorials.html
Source Code: http://proglearn.neurodata.io/reference/index.html
Issues: https://github.com/neurodata/proglearn/issues
Contribution Guide: http://proglearn.neurodata.io/contributing.html

Some system/package requirements: - Python: 3.6+ - OS: All major platforms (Linux, macOS, Windows) - Dependencies: tensorflow, scikit-learn, scipy, numpy, joblib

Owner

Name: neurodata
Login: neurodata
Kind: organization
Email: admin@neurodata.io
Location: everywhere

Website: https://neurodata.io
Repositories: 175
Profile: https://github.com/neurodata

Citation (CITATION.cff)

# YAML 1.2
---
authors:
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Vogelstein
    given-names: Joshua
    orcid: "https://orcid.org/0000-0003-2487-6237"
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Dey
    given-names: Jayanta
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Hayden
    given-names: Helm
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: LeVine
    given-names: Will
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Mehta
    given-names: Ronak
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Geisa
    given-names: Ali
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Xu
    given-names: Haoyin
    orcid: "https://orcid.org/0000-0001-8235-4950"
  -
    affiliation: "Baylor College of Medicine, Houston, TX"
    family-names: "van de Ven"
    given-names: Gido
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Chang
    given-names: Emily
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Gao
    given-names: Chenyu
  -
    affiliation: "Microsoft Research, Redmond, WA"
    family-names: Yang
    given-names: Weiwei
  -
    affiliation: "Microsoft Research, Redmond, WA"
    family-names: Tower
    given-names: Bryan
  -
    affiliation: "Microsoft Research, Redmond, WA"
    family-names: Larson
    given-names: Jonathan
  -
    affiliation: "Microsoft Research, Redmond, WA"
    family-names: White
    given-names: Christopher
  -
    affiliation: "Johns Hopkins University, Baltimore, MD"
    family-names: Priebe
    given-names: Carey
cff-version: "1.2.0"
date-released: 2022-03-11
identifiers:
  -
    type: url
    value: "https://arxiv.org/pdf/2004.12908.pdf"
  -
    type: doi
    value: 10.5281/zenodo.4060264
keywords:
  - Python
  - classification
  - "decision trees"
  - "lifelong learning"
  - "transfer learning"
  - "domain adaptation"
license: MIT
doi: 10.5281/zenodo.4060264
message: "If you use ProgLearn, please cite it using these metadata."
repository-code: "https://github.com/neurodata/ProgLearn"
title: "Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity"
version: "0.0.7"
...

GitHub Events

Total

Watch event: 2
Member event: 1
Push event: 10

Last Year

Watch event: 2
Member event: 1
Push event: 10

Committers

Last synced: 8 months ago

All Time

Total Commits: 1,127
Total Committers: 52
Avg Commits per committer: 21.673
Development Distribution Score (DDS): 0.813

Past Year

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

Top Committers

Name	Email	Commits
Will LeVine	l**l@i**m	211
Haoyin Xu	h**u@g**m	182
jdey4	j**4@j**u	160
EYezerets	e**s@g**m	92
Ubuntu	u**u@i**l	65
Benjamin Straus	3****1	44
Ubuntu	u**u@i**l	42
amyvanee	a**0@g**m	32
echang39	e**2@g**m	29
Michael Ainsworth	m**h@g**m	26
Chenyu Gao	c**7@j**u	23
Ronak Mehta	t**t@m**m	21
Rahul Swaminathan	s**2@g**m	21
latasianguy	5****y	19
Yuta Kobayashi	y**i@Y**l	16
hayden	h**m@g**m	15
Ubuntu	u**u@i**l	14
sir-talksalott	6****t	13
levinwv1	w**e@j**u	11
parthgvora	p**a@g**m	10
mordred-skywalker	8****r	10
Jong Shin	5****3	8
v715	v**4@j**u	6
Ubuntu	A**r@h**t	5
Ronak Mehta	r**4@g**m	5
mkusman1	m**1@j**u	4
Jay	j**1@j**u	4
Yu-Chung Peng	y**2@j**u	4
tliu68	5****8	3
p-teng	5****g	3
and 22 more...

Committer Domains (Top 20 + Academic)

jhu.edu: 4 rams.colostate.edu: 1 ugrad14.cs.jhu.edu: 1 ronak2.zbo0qijau52ehdxabkadtyfmde.cx.internal.cloudapp.net: 1 ip-172-31-45-207.us-east-2.compute.internal: 1 dhcp32-170.cdb.riken.go.jp: 1 github.com: 1 ip-172-31-71-111.ec2.internal: 1 jh.edu: 1 hayden-vm.bvmgdi5ez3vetbrpmnmnqgi41b.bx.internal.cloudapp.net: 1 jhuapl.edu: 1 ip-172-31-11-28.ec2.internal: 1 microsoft.com: 1 ip-172-31-29-67.us-east-2.compute.internal: 1 ip-172-31-1-75.us-east-2.compute.internal: 1 jhmi.edu: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time

Total issues: 52
Total pull requests: 49
Average time to close issues: 8 months
Average time to close pull requests: 8 days
Total issue authors: 14
Total pull request authors: 17
Average comments per issue: 2.29
Average comments per pull request: 1.92
Merged pull requests: 32
Bot issues: 0
Bot pull requests: 2

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

jovo (17)
PSSF23 (11)
jdey4 (6)
levinwil (5)
AishwaryaSeth (2)
amyvanee (2)
rflperry (2)
Dante-Basile (1)
kaleab-k (1)
mkusman1 (1)
eigenvivek (1)
LizaNaydanova (1)
KevinWang905 (1)
nhahn7 (1)

Pull Request Authors

PSSF23 (18)
amyvanee (8)
jdey4 (3)
kfenggg (3)
khelmr (2)
LizaNaydanova (2)
dependabot[bot] (2)
Dante-Basile (2)
SUKI-O (2)
nhahn7 (1)
parthgvora (1)
tliu68 (1)
AishwaryaSeth (1)
mordred-skywalker (1)
waleeattia (1)

Top Labels

Issue Labels

ndd (21) feature (7) sklearn (5) paper (2) bug fix (1) duplicate (1)

Pull Request Labels

draft (5) dependencies (2)

Packages

Total packages: 1
Total downloads:
- pypi 35 last-month

Total dependent packages: 1
Total dependent repositories: 1
Total versions: 8
Total maintainers: 3

pypi.org: proglearn

A package to implement and extend the methods desribed in 'Omnidirectional Transfer for Quasilinear Lifelong Learning'

Homepage: https://github.com/neurodata/ProgLearn/
Documentation: https://proglearn.readthedocs.io/
License: MIT
Latest release: 0.0.7
published almost 4 years ago

Versions: 8
Dependent Packages: 1
Dependent Repositories: 1
Downloads: 35 Last month

Rankings

Forks count: 6.2%

Dependent packages count: 10.0%

Stargazers count: 11.0%

Average: 13.7%

Downloads: 19.7%

Dependent repos count: 21.8%

Maintainers (3)

jayanta levinewill PSSF23

Last synced: 4 months ago

Dependencies

dev-requirements.txt pypi

black * development
codecov * development
coverage * development
pytest * development
pytest-cov * development
twine * development
wheel * development

docs/requirements.txt pypi

ipykernel ==5.1.0
ipython ==7.16.3
nbsphinx ==0.8.7
numpydoc ==0.7
recommonmark ==0.5.0
sphinx >=1.8.5
sphinx_rtd_theme ==0.4.2
sphinxcontrib-rawfiles *

requirements.txt pypi

joblib >=0.14.1
numpy >=1.19.2
scikit-learn >=0.22.0
scipy >=1.4.1
tensorflow >=1.19.0

proglearn

Science Score: 77.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

ProgLearn

Owner

Citation (CITATION.cff)

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: proglearn

Rankings

Maintainers (3)

Dependencies