|
orographic_precipitation
|
public |
Linear Theory of Orographic Precipitation
|
2025-04-22 |
|
diraccfg
|
public |
DIRAC cfg files reader
|
2025-04-22 |
|
cylc-ui
|
public |
Cylc Web UI
|
2025-04-22 |
|
pyftdi
|
public |
FTDI device driver written in pure Python
|
2025-04-22 |
|
od
|
public |
Shorthand syntax for building OrderedDicts
|
2025-04-22 |
|
instapush
|
public |
a python wrapper for instapush
|
2025-04-22 |
|
telegram-send
|
public |
Send messages and files over Telegram from the command-line.
|
2025-04-22 |
|
opensource
|
public |
Query the Open Source License API
|
2025-04-22 |
|
func_timeout
|
public |
Python module to support running any existing function with a given timeout.
|
2025-04-22 |
|
lunarcalendar
|
public |
A lunar calendar converter, including a number of lunar and solar holidays, mainly from China.
|
2025-04-22 |
|
mesa-libegl-devel-cos7-aarch64
|
public |
(CDT) Mesa libEGL runtime libraries
|
2025-04-22 |
|
mesa-libegl-cos7-aarch64
|
public |
(CDT) Mesa libEGL runtime libraries
|
2025-04-22 |
|
sigtools
|
public |
Utilities for working with inspect.Signature objects.
|
2025-04-22 |
|
deon
|
public |
A command line tool to easily add an ethics checklist to your data science projects.
|
2025-04-22 |
|
r-rsparse
|
public |
Implements many algorithms for statistical learning on sparse matrices - matrix factorizations, matrix completion, elastic net regressions, factorization machines. Also 'rsparse' enhances 'Matrix' package by providing methods for multithreaded <sparse, dense> matrix products and native slicing of the sparse matrices in Compressed Sparse Row (CSR) format. List of the algorithms for regression problems: 1) Elastic Net regression via Follow The Proximally-Regularized Leader (FTRL) Stochastic Gradient Descent (SGD), as per McMahan et al(, <doi:10.1145/2487575.2488200>) 2) Factorization Machines via SGD, as per Rendle (2010, <doi:10.1109/ICDM.2010.127>) List of algorithms for matrix factorization and matrix completion: 1) Weighted Regularized Matrix Factorization (WRMF) via Alternating Least Squares (ALS) - paper by Hu, Koren, Volinsky (2008, <doi:10.1109/ICDM.2008.22>) 2) Maximum-Margin Matrix Factorization via ALS, paper by Rennie, Srebro (2005, <doi:10.1145/1102351.1102441>) 3) Fast Truncated Singular Value Decomposition (SVD), Soft-Thresholded SVD, Soft-Impute matrix completion via ALS - paper by Hastie, Mazumder et al. (2014, <arXiv:1410.2596>) 4) Linear-Flow matrix factorization, from 'Practical linear models for large-scale one-class collaborative filtering' by Sedhain, Bui, Kawale et al (2016, ISBN:978-1-57735-770-4) 5) GlobalVectors (GloVe) matrix factorization via SGD, paper by Pennington, Socher, Manning (2014, <https://www.aclweb.org/anthology/D14-1162>) Package is reasonably fast and memory efficient - it allows to work with large datasets - millions of rows and millions of columns. This is particularly useful for practitioners working on recommender systems.
|
2025-04-22 |
|
requests-ecp
|
public |
SAML/ECP authentication handler for python-requests
|
2025-04-22 |
|
hs-process
|
public |
An open-source Python package for geospatial processing of aerial hyperspectral imagery
|
2025-04-22 |
|
pytest-flask-sqlalchemy
|
public |
A pytest plugin for preserving test isolation in Flask-SQLAlchemy using database transactions.
|
2025-04-22 |
|
r-tune
|
public |
The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
|
2025-04-22 |
|
r-float
|
public |
R comes with a suite of utilities for linear algebra with "numeric" (double precision) vectors/matrices. However, sometimes single precision (or less!) is more than enough for a particular task. This package extends R's linear algebra facilities to include 32-bit float (single precision) data. Float vectors/matrices have half the precision of their "numeric"-type counterparts but are generally faster to numerically operate on, for a performance vs accuracy trade-off. The internal representation is an S4 class, which allows us to keep the syntax identical to that of base R's. Interaction between floats and base types for binary operators is generally possible; in these cases, type promotion always defaults to the higher precision. The package ships with copies of the single precision 'BLAS' and 'LAPACK', which are automatically built in the event they are not available on the system.
|
2025-04-22 |
|
r-tidyquant
|
public |
Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
|
2025-04-22 |
|
pop-tools
|
public |
Tools to support analysis of POP2-CESM model solutions with xarray
|
2025-04-22 |
|
lifetimes
|
public |
Measure customer lifetime value in Python
|
2025-04-22 |
|
r-gluedown
|
public |
Ease the transition between R vectors and markdown text. With 'gluedown' and 'rmarkdown', users can create traditional vectors in R, glue those strings together with the markdown syntax, and print those formatted vectors directly to the document. This package primarily uses GitHub Flavored Markdown (GFM), an offshoot of the unambiguous CommonMark specification by John MacFarlane (2019) <https://spec.commonmark.org/>.
|
2025-04-22 |
|
jigsawpy
|
public |
jigsawpy is the python interface to JIGSAW, which is a Delaunay-based
unstructured mesh generator for two- and three-dimensional geometries.
|
2025-04-22 |
