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pyfileindex
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public |
pyfileindex - pythonic file system index
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2025-09-30 |
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h5io_browser
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public |
Easy navigation and data storage for HDF5
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2025-09-30 |
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pyiron_atomistics
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public |
pyiron - an integrated development environment (IDE) for computational materials science.
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2025-09-30 |
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r-cpprouting
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public |
Calculation of distances, shortest paths and isochrones on weighted graphs using several variants of Dijkstra algorithm. Proposed algorithms are unidirectional Dijkstra (Dijkstra, E. W. (1959) <doi:10.1007/BF01386390>), bidirectional Dijkstra (Goldberg, Andrew & Fonseca F. Werneck, Renato (2005) <https://archive.siam.org/meetings/alenex05/papers/03agoldberg.pdf>), A* search (P. E. Hart, N. J. Nilsson et B. Raphael (1968) <doi:10.1109/TSSC.1968.300136>), new bidirectional A* (Pijls & Post (2009) <https://repub.eur.nl/pub/16100/ei2009-10.pdf>), Contraction hierarchies (R. Geisberger, P. Sanders, D. Schultes and D. Delling (2008) <doi:10.1007/978-3-540-68552-4_24>), PHAST (D. Delling, A.Goldberg, A. Nowatzyk, R. Werneck (2011) <doi:10.1016/j.jpdc.2012.02.007>). Algorithms for solving the traffic assignment problem are All-or-Nothing assignment, Method of Successive Averages, Frank-Wolfe algorithm (M. Fukushima (1984) <doi:10.1016/0191-2615(84)90029-8>), Conjugate and Bi-Conjugate Frank-Wolfe algorithms (M. Mitradjieva, P. O. Lindberg (2012) <doi:10.1287/trsc.1120.0409>), Algorithm-B (R. B. Dial (2006) <doi:10.1016/j.trb.2006.02.008>).
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2025-09-30 |
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port-for
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public |
port-for is a command-line utility and a python library that helps with local TCP ports managment
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2025-09-30 |
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improver
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public |
IMPROVER is a library of algorithms for meteorological post-processing and verification.
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2025-09-30 |
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dyno
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public |
A simple library for solving dynamic stochastic economic models.
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2025-09-30 |
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r-rpref
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public |
Routines to select and visualize the maxima for a given strict partial order. This especially includes the computation of the Pareto frontier, also known as (Top-k) Skyline operator (see Börzsönyi, et al. (2001) <doi:10.1109/ICDE.2001.914855>), and some generalizations known as database preferences (see Kießling (2002) <doi:10.1016/B978-155860869-6/50035-4>).
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2025-09-30 |
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libzeep
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public |
C++ library for reading and writing XML and creating web, REST and SOAP servers.
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2025-09-30 |
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azure-monitor-query
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public |
Microsoft Azure Monitor Query Client Library for Python
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2025-09-30 |
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hyfetch
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public |
Command-line tool that presents system info with LGBTQ+ pride flags
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2025-09-30 |
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geo-parameters
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public |
Metadata of geophysical (especially wave) parameters
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2025-09-30 |
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fans
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public |
FANS: an open-source, efficient, and parallel FFT-based homogenization solver designed to solve microscale multiphysics problems.
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2025-09-30 |
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supabase-pydantic
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public |
A Pydantic(+) model generator for Supabase
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2025-09-30 |
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upstage-des
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public |
A library for behavior-driven discrete event simulation.
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2025-09-30 |
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wsidicom
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public |
Tools for handling DICOM based whole scan images
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2025-09-30 |
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sqlframe
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public |
Turning PySpark Into a Universal DataFrame API
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2025-09-30 |
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r-rcppparallel
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public |
High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
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2025-09-30 |
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visp
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public |
A cross-platform library for prototyping and developing applications using visual tracking and visual servoing technic.
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2025-09-30 |
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tango-astor
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public |
Astor is a graphical Tango control system administration tool.
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2025-09-30 |
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hpp-fcl
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public |
An extension of the Flexible Collision Library
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2025-09-30 |
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typed-settings
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public |
Typed settings based on attrs classes
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2025-09-30 |
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r-boomspikeslab
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public |
Spike and slab regression with a variety of residual error distributions corresponding to Gaussian, Student T, probit, logit, SVM, and a few others. Spike and slab regression is Bayesian regression with prior distributions containing a point mass at zero. The posterior updates the amount of mass on this point, leading to a posterior distribution that is actually sparse, in the sense that if you sample from it many coefficients are actually zeros. Sampling from this posterior distribution is an elegant way to handle Bayesian variable selection and model averaging. See <DOI:10.1504/IJMMNO.2014.059942> for an explanation of the Gaussian case.
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2025-09-30 |
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bdbag
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public |
A collection of software programs for working with BagIt packages.
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2025-09-30 |
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limits
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public |
Rate limiting utilities
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2025-09-30 |
