netket

Machine learning algorithms for many-body quantum systems

Science Score: 54.0%

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

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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Committers with academic emails
15 of 71 committers (21.1%) 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 (18.8%) to scientific vocabulary

Keywords

deep-learning hamiltonian jax machine-learning markov-chain-monte-carlo monte-carlo-methods neural-networks physics-simulation quantum quantum-state-tomography unitaryhack variational-method variational-monte-carlo

Keywords from Contributors

distributed quantum-circuit quantum-computing jit mpi parallel-computing xla interactive quantum-information parallel

Last synced: 4 months ago · JSON representation ·

Repository

Machine learning algorithms for many-body quantum systems

Basic Info

Host: GitHub
Owner: netket
License: apache-2.0
Language: Python
Default Branch: master
Homepage: https://www.netket.org
Size: 65.3 MB

Statistics

Stars: 622
Watchers: 24
Forks: 203
Open Issues: 101
Releases: 82

Topics

Created over 7 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation

README.md

NetKet

NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and machine learning techniques. It is a Python library built on JAX.

NetKet is an affiliated project to numFOCUS.

Homepage: https://www.netket.org
Citing: https://www.netket.org/cite/
Documentation: https://netket.readthedocs.io/en/latest/index.html
Tutorials: https://netket.readthedocs.io/en/latest/tutorials/gs-ising.html
Examples: https://github.com/netket/netket/tree/master/Examples
Source code: https://github.com/netket/netket

Installation and Usage

NetKet runs on MacOS and Linux and requires Python 3.11 or later. We recommend installing NetKet using pip or uv. Do not use conda as JAX has known issues when installed through conda.

sh pip install --upgrade pip pip install netket

With GPU support (Linux only): sh pip install 'netket[cuda]'

Development version: sh pip install git+https://github.com/netket/netket.git

For detailed installation instructions including GPU setup, see our installation guide.

Getting Started

To get started with NetKet, we recommend you give a look at our tutorials page, by running them on your computer or on Google Colaboratory. There are also many example scripts that you can download, run and edit that showcase some use-cases of NetKet, although they are not commented.

If you want to get in touch with us, feel free to open an issue or a discussion here on GitHub, or to join the MLQuantum slack group where several people involved with NetKet hang out. To join the slack channel just accept this invitation

License

Apache License 2.0

Owner

Name: NetKet
Login: netket
Kind: organization

Website: https://www.netket.org
Twitter: NetKetOrg
Repositories: 4
Profile: https://github.com/netket

Open-source project for the development of machine intelligence for many-body quantum systems.

Citation (CITATIONS.bib)

@misc{netket3:2021,
    title={NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems},
    author={Filippo Vicentini and Damian Hofmann and Attila Szabó and Dian Wu and Christopher Roth
        and Clemens Giuliani and Gabriel Pescia and Jannes Nys and Vladimir Vargas-Calderon
        and Nikita Astrakhantsev and Giuseppe Carleo},
    year={2021},
    eprint={2112.10526},
    archivePrefix={arXiv},
    primaryClass={quant-ph},
    url={https://arxiv.org/abs/2112.10526}
}

@article{netket2:2019,
    author    = {Carleo, Giuseppe and Choo, Kenny and Hofmann, Damian and
        Smith, James E.~T. and Westerhout, Tom and Alet, Fabien and
        Davis, Emily J. and Efthymiou, Stavros and Glasser, Ivan and
        Lin, Sheng-Hsuan and Mauri, Marta and Mazzola, Guglielmo and
        Mendl, Christian B. and van Nieuwenburg, Evert and
        O'Reilly, Ossian and Th{\'e}veniaut, Hugo and Torlai, Giacomo and Vicentini, Filippo and
        Wietek, Alexander},
    title     = {NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems},
    journal   = {SoftwareX},
    pages     = {100311},
    doi       = {10.1016/j.softx.2019.100311},
    url       = {http://www.sciencedirect.com/science/article/pii/S2352711019300974},
    year      = 2019
}

GitHub Events

Total

Fork event: 15
Create event: 38
Commit comment event: 4
Release event: 13
Issues event: 41
Watch event: 70
Delete event: 30
Member event: 1
Issue comment event: 360
Push event: 200
Pull request review comment event: 147
Pull request review event: 147
Pull request event: 164

Last Year

Fork event: 15
Create event: 38
Commit comment event: 4
Release event: 13
Issues event: 41
Watch event: 70
Delete event: 30
Member event: 1
Issue comment event: 360
Push event: 200
Pull request review comment event: 147
Pull request review event: 147
Pull request event: 164

Committers

Last synced: almost 2 years ago

All Time

Total Commits: 2,804
Total Committers: 71
Avg Commits per committer: 39.493
Development Distribution Score (DDS): 0.714

Past Year

Commits: 203
Committers: 17
Avg Commits per committer: 11.941
Development Distribution Score (DDS): 0.33

Top Committers

Name	Email	Commits
Filippo Vicentini	f**i@g**m	801
Giuseppe Carleo	2****o	589
Damian Hofmann	d**n@m**e	346
Tom Westerhout	t**t@s**l	219
kenny_choo	k**o@u**h	129
jamesETsmith	j**5@c**u	59
Damian Hofmann	f****t	55
dependabot[bot]	4****]	53
Dian Wu	d**u@e**h	46
Evert van Nieuwenburg	e**g@g**m	41
chrisrothUT	c**h@u**u	38
ShHsLin	s**n@t**e	36
Clemens Giuliani	c**s@i**t	36
Vladimir Vargas	v**c@u**o	34
Attila Szabó	3****o	29
gtorlai	g**i@u**a	26
Marta Mauri	m**a@M**l	25
Jannes Nys	j**s@g**m	25
chrisrothUT	6****T	21
Nikita Astrakhantsev	n**t@g**m	20
guglielmo	g**y@d**h	16
stavros11	3****1	14
Tom	t**a@u**e	14
alet	a**t@i**r	11
Vladimir Vargas-Calderón	3****O	9
Gabriel Pescia	7****a	8
Emily Jane Davis	e**d@s**u	8
Chen Ao	a**n@s**h	8
Giuseppe Carleo	g**o@c**g	7
ooreilly	o**y@u**u	7
and 41 more...

Committer Domains (Top 20 + Academic)

irsamc.ups-tlse.fr: 2 mpsd.mpg.de: 1 student.ru.nl: 1 uzh.ch: 1 colorado.edu: 1 epfl.ch: 1 utexas.edu: 1 tum.de: 1 inailuig.it: 1 unal.edu.co: 1 uwaterloo.ca: 1 dhcp-192-033-102-052.ethz.ch: 1 ugent.be: 1 stanford.edu: 1 student.ethz.ch: 1 ccqmac017.flatironinstitute.org: 1 usc.edu: 1 kennys-mbp.fritz.box: 1 126.com: 1 flatironinstitute.org: 1 ccqlin010.flatironinstitute.org: 1 physics.ox.ac.uk: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 127
Total pull requests: 665
Average time to close issues: 11 months
Average time to close pull requests: about 1 month
Total issue authors: 47
Total pull request authors: 39
Average comments per issue: 2.73
Average comments per pull request: 2.55
Merged pull requests: 478
Bot issues: 0
Bot pull requests: 77

Past Year

Issues: 33
Pull requests: 104
Average time to close issues: 27 days
Average time to close pull requests: 5 days
Issue authors: 21
Pull request authors: 23
Average comments per issue: 1.15
Average comments per pull request: 2.25
Merged pull requests: 59
Bot issues: 0
Bot pull requests: 9

View more stats

Top Authors

Issue Authors

PhilipVinc (48)
jwnys (9)
attila-i-szabo (7)
gcarleo (6)
dsmic (3)
macekmar (3)
Gautameshwar (3)
lindamauron (3)
MarcMachaczek (3)
Chihiro1099 (2)
Rose-max111 (2)
VolodyaCO (2)
chrisrothUT (2)
abukva (1)
MandMarc (1)

Pull Request Authors

PhilipVinc (348)
dependabot[bot] (77)
inailuig (55)
jwnys (22)
wdphy16 (21)
gcarleo (19)
alleSini99 (18)
attila-i-szabo (17)
lindamauron (9)
VolodyaCO (8)
chrisrothUT (6)
lgravina1997 (6)
macekmar (6)
Z-Denis (5)
vigsterkr (5)

Top Labels

Issue Labels

enhancement (25) bug (20) contributor welcome (16) help wanted (8) fermions (4) good first issue (4) docs (3) fix proposed (2) error checking (2) unitaryhack-bounty (1) v3.0 (1) Jax (1) question (1) forget-me-not (1)

Pull Request Labels

dependencies (77) codex (5) enhancement (3) python (3) bug (2)

Packages

Total packages: 4
Total downloads:
- pypi 3,876 last-month

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 5
(may contain duplicates)
Total versions: 163
Total maintainers: 3

pypi.org: netket

Netket : Machine Learning toolbox for many-body quantum systems.

Documentation: https://netket.readthedocs.io/
License: Apache 2.0
Latest release: 3.19.1
published 4 months ago

Versions: 86
Dependent Packages: 0
Dependent Repositories: 5
Downloads: 3,876 Last month
Docker Downloads: 0

Rankings

Docker downloads count: 2.3%

Average: 6.4%

Dependent repos count: 6.7%

Downloads: 6.8%

Dependent packages count: 10.0%

Maintainers (2)

PhilipVinc gcarleo

Last synced: 4 months ago

proxy.golang.org: github.com/netket/netket

Documentation: https://pkg.go.dev/github.com/netket/netket#section-documentation
License: apache-2.0
Latest release: v3.19.0+incompatible
published 6 months ago

Versions: 47
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 6.5%

Average: 6.7%

Dependent repos count: 6.9%

Last synced: 4 months ago

spack.io: py-netket

NetKet is an open-source project, delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and machine learning techniques.

Homepage: https://github.com/netket/netket
License: []
Latest release: 2.1.1
published almost 4 years ago

Versions: 7
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent repos count: 0.0%

Forks count: 8.4%

Stargazers count: 10.7%

Average: 19.1%

Dependent packages count: 57.3%

Maintainers (1)

adamjstewart

Last synced: 4 months ago

conda-forge.org: netket

Homepage: https://www.netket.org
License: Apache-2.0
Latest release: 3.5.2
published about 3 years ago

Versions: 23
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Forks count: 13.8%

Stargazers count: 17.8%

Average: 29.2%

Dependent repos count: 34.0%

Dependent packages count: 51.2%

Last synced: 4 months ago

Dependencies

.github/workflows/CI.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite
codecov/codecov-action v3 composite
mpi4py/setup-mpi v1 composite

.github/workflows/formatting_check.yml actions

actions/checkout v3 composite
actions/checkout v2 composite
actions/setup-python v4 composite
actions/setup-python v2 composite

.github/workflows/publish.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite

pyproject.toml pypi

flax >=0.6, <0.7
igraph >=0.9.8, <0.11.0
jax >=0.3.16, <0.5
jaxlib >=0.3.15, <0.5
numba >=0.52, <0.57
numba4jax >=0.0.10, <0.1
numpy ~=1.20
optax >=0.1.3, <0.2
orjson >=3.4, <4
plum-dispatch >=1.5.1, <2
scipy >=1.5.3, <2
tqdm >=4.60, <5