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anuga
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public |
A set of python modules for tsunami and flood modelling
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2025-09-29 |
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pspg
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public |
Unix pager optimized for psql
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2025-09-29 |
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py3dmol
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public |
Jupyter widget to embed an interactive 3Dmol.js viewer in a notebook
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2025-09-29 |
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fastapi-core
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public |
FastAPI framework, high performance, easy to learn, fast to code, ready for production (core dependencies only)
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2025-09-29 |
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fastapi
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public |
FastAPI framework, high performance, easy to learn, fast to code, ready for production (with [standard])
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2025-09-29 |
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func_adl_servicex_xaodr25
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public |
func-adl typed datasets for Servicex for xAOD R25 25.2.41
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2025-09-29 |
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topologicpy
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public |
The python bindings for topologic
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2025-09-29 |
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ltbams
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public |
Python software for scheduling modeling and co-simulation with dynamics.
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2025-09-29 |
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astropy-iers-data
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public |
IERS Earth Rotation and Leap Second tables for the astropy core package
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2025-09-29 |
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sahi
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public |
A vision library for performing sliced inference on large images/small objects
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2025-09-29 |
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syrupy
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public |
Pytest Snapshot Test Utility
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2025-09-29 |
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statmorph
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public |
Non-parametric morphological diagnostics of galaxy images
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2025-09-29 |
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r-maotai
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public |
Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
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2025-09-29 |
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ray-tune
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-client
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-core
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-data
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-serve
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-observability
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-train
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-default
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public |
Ray is a fast and simple framework for building and running distributed applications.
|
2025-09-29 |
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ray-rllib
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public |
Ray is a fast and simple framework for building and running distributed applications.
|
2025-09-29 |
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ray-air
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public |
Ray is a fast and simple framework for building and running distributed applications.
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2025-09-29 |
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ray-all
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public |
Ray is a fast and simple framework for building and running distributed applications.
|
2025-09-29 |
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r-mashr
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public |
Implements the multivariate adaptive shrinkage (mash) method of Urbut et al (2019) <DOI:10.1038/s41588-018-0268-8> for estimating and testing large numbers of effects in many conditions (or many outcomes). Mash takes an empirical Bayes approach to testing and effect estimation; it estimates patterns of similarity among conditions, then exploits these patterns to improve accuracy of the effect estimates. The core linear algebra is implemented in C++ for fast model fitting and posterior computation.
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2025-09-29 |
