llnl / LEAP
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch
Why this job: works in the areas we cover, but does not say which job it does
What it does
This is a C++/CUDA library (Linux, Windows, and Mac*) of 3D tomographic algorithms (pre-processing algorithms, projectors, and analytic (FBP) and iterative reconstruction algorithms) with a Python interface. The projectors (forward and back projection) are implemented for both multi-GPU and multi-core CPU and we provide bindings to PyTorch to achieve differentiable forward and backward projectors for AI/ML-driven Computed Tomography (CT) applications.
Get started
python -m pip install leapct-<version>-<tags>.whl- Maintenance
- Active
- Last commit 5 days ago
- Stars
- 261
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.26
- Released 23 months ago
- Built with
- C++
- 80% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 77% closed
- 45 still open
- Pull requests
- 2 merged
- 4 waiting
- Releases
- 27
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- C++ 80%
- Cuda 10%
- Python 9%
- C <1%
Topics
- machine-learning
- artificial-intelligence
- computed-tomography
- cone-beam
- medical-imaging
- parallel-beam
- tomography
- spect
- vam
- leap
- ct
- image-reconstruction
Project record
- JobOther AI tools
- StatusListed
- Commits470
- Forks38
- Watching10
- Stars in 28 days+5
- CreatedMay 23, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026