crossfit

Metric calculation library

https://github.com/rapidsai/crossfit

Science Score: 44.0%

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
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.0%) to scientific vocabulary

Keywords from Contributors

cryptocurrency transformer mesh sequences interactive hacking network-simulation
Last synced: 10 months ago · JSON representation ·

Repository

Metric calculation library

Basic Info
  • Host: GitHub
  • Owner: rapidsai
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 30.3 MB
Statistics
  • Stars: 8
  • Watchers: 9
  • Forks: 9
  • Open Issues: 18
  • Releases: 9
Created over 3 years ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.md

crossfit

PyPI Changelog License

Multi Node Multi GPU Offline Inference and metric calculation library

Installation

Install this library using pip:

pip install crossfit

Installation from source (for cuda 12.x)

git clone https://github.com/rapidsai/crossfit.git cd crossfit pip install --extra-index-url https://pypi.nvidia.com ".[cuda12x]"

Usage

Usage instructions go here.

Development

To contribute to this library, first create a conda environment with the necessary dependencies: cd crossfit mamba env create -f conda/environments/cuda_dev.yaml conda activate crossfit_dev

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest

Owner

  • Name: RAPIDS
  • Login: rapidsai
  • Kind: organization

Open GPU Data Science

Citation (CITATION.md)

# Citation Guide

Please consider citing this when using crossfit in a project.

```cite
@Manual{
              title = {RAPIDS: Libraries for End to End GPU Data Science},
              author = {RAPIDS Development Team},
              year = {2023},
              url = {https://rapids.ai}
            }
```


GitHub Events

Total
  • Create event: 24
  • Release event: 4
  • Issues event: 16
  • Watch event: 5
  • Delete event: 17
  • Issue comment event: 29
  • Push event: 44
  • Pull request review event: 54
  • Pull request review comment event: 37
  • Pull request event: 42
  • Fork event: 3
Last Year
  • Create event: 24
  • Release event: 4
  • Issues event: 16
  • Watch event: 5
  • Delete event: 17
  • Issue comment event: 29
  • Push event: 44
  • Pull request review event: 54
  • Pull request review comment event: 37
  • Pull request event: 42
  • Fork event: 3

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 99
  • Total Committers: 10
  • Avg Commits per committer: 9.9
  • Development Distribution Score (DDS): 0.717
Past Year
  • Commits: 37
  • Committers: 6
  • Avg Commits per committer: 6.167
  • Development Distribution Score (DDS): 0.378
Top Committers
Name Email Commits
edknv 1****v 28
Marc Romeyn m****n@g****m 24
Vibhu Jawa v****a@g****m 23
Richard (Rick) Zamora r****7@g****m 8
Sarah Yurick 5****k 6
Praateek Mahajan p****n 5
Oliver Holworthy o****r@h****m 2
uahmed93 6****3 1
dependabot[bot] 4****] 1
Ray Douglass 3****s 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 31
  • Total pull requests: 77
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 9 days
  • Total issue authors: 7
  • Total pull request authors: 9
  • Average comments per issue: 1.03
  • Average comments per pull request: 0.94
  • Merged pull requests: 64
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 15
  • Pull requests: 44
  • Average time to close issues: 16 days
  • Average time to close pull requests: 7 days
  • Issue authors: 5
  • Pull request authors: 6
  • Average comments per issue: 0.53
  • Average comments per pull request: 0.98
  • Merged pull requests: 36
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • VibhuJawa (15)
  • sarahyurick (7)
  • praateekmahajan (4)
  • uahmed93 (3)
  • ryantwolf (1)
  • edknv (1)
  • conceptofmind (1)
Pull Request Authors
  • VibhuJawa (53)
  • sarahyurick (18)
  • edknv (18)
  • praateekmahajan (9)
  • mroeschke (2)
  • dependabot[bot] (2)
  • raydouglass (2)
  • uahmed93 (2)
  • rjzamora (1)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels
enhancement (2) dependencies (2) waiting on review (2)

Dependencies

.github/workflows/base.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
.github/workflows/cf_backends.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
.github/workflows/gpu-ci.yml actions
  • actions/checkout v3 composite
  • actions/github-script v6 composite
.github/workflows/lint.yaml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pre-commit/action v3.0.0 composite
.github/workflows/publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
docker/ci/Dockerfile docker
  • nvcr.io/nvidia/nemo 23.10 build
pyproject.toml pypi
requirements/base.txt pypi
  • astunparse *
  • dask *
  • distributed >=2022.11.1
  • fsspec >=2022.7.1
  • numba *
  • numpy *
  • pandas *
  • pynvml >=11.0.0,<11.5
  • rich *
  • scikit-learn >=1.2.0
  • tensorflow_metadata *
  • tqdm *
  • typing_extensions *
  • typing_utils *
requirements/dev.txt pypi
  • bandit ==1.7.0 development
  • black ==23.10.1 development
  • flake8 ==6.1.0 development
  • isort ==5.12.0 development
  • pytest >=5 development
  • pytest-benchmark >=4.0.0 development
  • pytest-cov >=2 development
requirements/jax.txt pypi
  • jax *
requirements/pytorch.txt pypi
  • bitsandbytes *
  • curated-transformers *
  • sentence-transformers *
  • torch >=1.0
  • transformers *
requirements/tensorflow.txt pypi
  • tensorflow >=2.8
setup.py pypi