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GitHub / esa / torchquad

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/esa%2Ftorchquad

Stars: 165
Forks: 34
Open Issues: 15

License: gpl-3.0
Language: Python
Repo Size: 1.88 MB
Dependencies: 22

Created: over 3 years ago
Updated: 21 days ago
Last pushed: about 1 month ago
Last synced: 21 days ago

Commit Stats

Commits: 514
Authors: 12
Mean commits per author: 42.83
Development Distribution Score: 0.619
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/esa/torchquad

Topics: automatic-differentiation, gpu, high-performance-computing, integration, machine-learning, monte-carlo-integration, multidimensional-integration, numerical-integration, python, pytorch, torchquad, vegas, vegas-enhanced

Files
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    Readme
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    Dependencies
    requirements.txt pypi
    setup.py pypi
    .github/workflows/autoblack.yml actions
    .github/workflows/deploy_to_pypi.yml actions
    .github/workflows/deploy_to_test_pypi.yml actions
    .github/workflows/draft-pdf.yml actions
    .github/workflows/run_tests.yml actions
    environment.yml pypi