https://github.com/helmholtz-analytics/heat/
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
https://github.com/helmholtz-analytics/heat/
Keywords
array-api data-analytics data-processing data-science distributed gpu hpc machine-learning massive-datasets mpi mpi4py multi-gpu multi-node-cluster numpy parallelism python pytorch tensors
Keywords from Contributors
parallel parallel-computing data-profilers datacleaner pipeline-testing benchmarking simulations sdgs batteries transformer
Last synced: 11 months ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
- Host: GitHub
- URL: https://github.com/helmholtz-analytics/heat/
- Owner: helmholtz-analytics
- License: mit
- Created: 2018-05-17T12:16:27.000Z (almost 7 years ago)
- Default Branch: main
- Last Pushed: 2024-04-17T13:58:28.000Z (about 1 year ago)
- Last Synced: 2024-04-17T17:30:39.600Z (about 1 year ago)
- Topics: array-api, data-analytics, data-processing, data-science, distributed, gpu, hpc, machine-learning, massive-datasets, mpi, mpi4py, multi-gpu, multi-node-cluster, numpy, parallelism, python, pytorch, tensors
- Language: Python
- Homepage: https://heat.readthedocs.io/
- Size: 19.2 MB
- Stars: 193
- Watchers: 10
- Forks: 56
- Open Issues: 127
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: contributing.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
Owner metadata
- Name: Helmholtz Analytics
- Login: helmholtz-analytics
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/39373915?v=4
- Repositories: 3
- Last ynced at: 2023-03-02T05:17:33.934Z
- Profile URL: https://github.com/helmholtz-analytics
Committers metadata
Last synced: over 1 year ago
Total Commits: 4,590
Total Committers: 62
Avg Commits per committer: 74.032
Development Distribution Score (DDS): 0.8
Commits in past year: 361
Committers in past year: 25
Avg Commits per committer in past year: 14.44
Development Distribution Score (DDS) in past year: 0.704
| Name | Commits | |
|---|---|---|
| Claudia Comito | c****o@f****e | 919 |
| coquelin77 | d****n@g****m | 675 |
| coquelin77 | d****n@f****e | 546 |
| Michael Tarnawa | m****a@f****e | 544 |
| Markus Goetz | m****z@k****u | 270 |
| simon | u****r@s****u | 232 |
| Lena Blind | l****d@f****e | 213 |
| Claudia Comito | 3****o | 195 |
| Bjoern Hagemeier | b****r@f****e | 134 |
| Charlotte | c****s@d****e | 126 |
| kk | k****k@f****e | 92 |
| Hoppe | m****2@g****m | 87 |
| simon | t****v@y****e | 71 |
| Charlie Debus | c****s@d****e | 50 |
| Jakob Ohm | j****m@p****m | 46 |
| Gutiérrez Hermosillo Muriedas, Juan Pedro | j****m@g****m | 43 |
| pre-commit-ci[bot] | 6****] | 41 |
| Ben Bourgart | b****t@f****e | 36 |
| Fabian Hoppe | 1****2 | 35 |
| Charlotte Debus | c****s@g****m | 27 |
| Lehr, Fabrice von der | f****r@d****e | 24 |
| Charlotte Debus | d****1@h****l | 20 |
| Debus | d****h@s****e | 16 |
| Markus Goetz | m****n@g****m | 16 |
| neosunhan | n****n@g****m | 16 |
| Philipp Knechtges | p****s@d****e | 14 |
| Charlotte Debus | s****c@g****m | 7 |
| Martin Siggel | m****l@d****e | 7 |
| Ashwath V A | 7****e | 7 |
| Simon Schmitz | s****z@d****e | 6 |
| and 32 more... | ||
Committer domains:
- fz-juelich.de: 7
- dlr.de: 7
- kit.edu: 2
- hdfmll01.hdfml: 2
- student.kit.edu: 1
- yahoo.de: 1
- dkfz-heidelberg.de: 1
- sc-030166l.intra.dlr.de: 1
- gmx.de: 1
- stepsecurity.io: 1
- bertel313.de: 1
- spataro.de: 1
- t-online.de: 1
- jwlogin23.juwels: 1
- intel.com: 1
- jwlogin24.juwels: 1
- haicn1992.localdomain: 1
Issue and Pull Request metadata
Last synced: 12 months ago
Total issues: 218
Total pull requests: 354
Average time to close issues: over 1 year
Average time to close pull requests: about 2 months
Total issue authors: 21
Total pull request authors: 36
Average comments per issue: 2.76
Average comments per pull request: 5.47
Merged pull request: 213
Bot issues: 3
Bot pull requests: 128
Past year issues: 73
Past year pull requests: 247
Past year average time to close issues: about 2 months
Past year average time to close pull requests: 20 days
Past year issue authors: 7
Past year pull request authors: 16
Past year average comments per issue: 2.21
Past year average comments per pull request: 5.15
Past year merged pull request: 158
Past year bot issues: 2
Past year bot pull requests: 116
Top Issue Authors
- ClaudiaComito (81)
- mrfh92 (38)
- Markus-Goetz (19)
- coquelin77 (16)
- mtar (13)
- Mystic-Slice (8)
- neosunhan (6)
- krajsek (6)
- Cdebus (5)
- TheSlimvReal (3)
- JuanPedroGHM (3)
- Inzlinger (3)
- github-actions[bot] (3)
- ben-bou (3)
- LScheib (2)
Top Pull Request Authors
- dependabot[bot] (90)
- ClaudiaComito (51)
- mtar (35)
- mrfh92 (32)
- JuanPedroGHM (23)
- github-actions[bot] (22)
- pre-commit-ci[bot] (16)
- neosunhan (10)
- Mystic-Slice (10)
- Sai-Suraj-27 (9)
- step-security-bot (7)
- coquelin77 (6)
- shahpratham (5)
- samadpls (4)
- FOsterfeld (3)
Top Issue Labels
- enhancement (86)
- bug (49)
- good first issue (39)
- stale (32)
- documentation (21)
- API (21)
- linalg (16)
- MPI (14)
- workflows (14)
- GSoC (12)
- student project (12)
- high-level functions (12)
- redistribution (11)
- testing (10)
- sparse (10)
- :exclamation: (9)
- indexing (9)
- bug :bug: (8)
- interoperability (8)
- benchmarking (8)
- I/O (7)
- signal processing (6)
- memory footprint (6)
- array API (6)
- Data-parallel NNs / DASO (5)
- ESAPCA (5)
- CI (4)
- dndarray (4)
- factories (4)
- manipulations (4)
Top Pull Request Labels
- dependencies (91)
- github_actions (90)
- merge queue (48)
- workflows (35)
- documentation (26)
- enhancement (21)
- bug (19)
- benchmark PR (17)
- interoperability (17)
- chore (15)
- GSoC (13)
- PR talk (12)
- linalg (10)
- benchmarking (10)
- testing (9)
- CI (7)
- array API (6)
- manipulations (6)
- stale (6)
- bug :bug: (5)
- sparse (5)
- backport release/1.4.x (5)
- memory footprint (4)
- high-level functions (4)
- arithmetics (4)
- communication (4)
- logical (3)
- backport release/1.3.x (3)
- dndarray (3)
- security (3)
Package metadata
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 3
spack.io: py-heat
Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.
- Homepage: https://github.com/helmholtz-analytics/heat/
- Licenses: []
- Latest release: 1.3.0 (published over 1 year ago)
- Last Synced: 2024-05-28T08:03:17.004Z (12 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Average: 29.332%
- Dependent packages count: 58.663%
- Maintainers (3)
Dependencies
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- fedora latest build
- Sphinx ==3.0.3
- sphinx-autoapi ===1.3.0
- sphinx-copybutton ==0.3.3
- sphinx_rtd_theme ==0.4.3
- sphinxcontrib-napoleon ==0.7
- mpi4py >=3.0.0
- numpy >=1.13.0
- pillow >=6.0.0
- scipy >=0.14.0
- torch >=1.7.0,
- torchvision >=0.8.0
Score: 10.994067669506974