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jupyterthemes
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public |
Select and install a Jupyter notebook theme
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2025-04-22 |
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algopy
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public |
ALGOPY: Taylor Arithmetic Computation and Algorithmic Differentiation
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2025-04-22 |
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flask-allows
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public |
authorization tool for Flask
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2025-04-22 |
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elasticsearch-async
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public |
Async backend for elasticsearch-py
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2025-04-22 |
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backports
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public |
A package to ensure the `backports` namespace is available.
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2025-04-22 |
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pyquery
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public |
A jquery-like library for python
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2025-04-22 |
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asyncpg
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public |
A fast PostgreSQL Database Client Library for Python/asyncio.
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2025-04-22 |
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typed-ast
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public |
a fork of Python 2 and 3 ast modules with type comment support
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2025-04-22 |
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astropy-healpix
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public |
BSD-licensed HEALPix for Astropy
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2025-04-22 |
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dask-distance
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public |
Distance computations with Dask (akin to scipy.spatial.distance)
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2025-04-22 |
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kazoo
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public |
Kazoo is a high-level Python library that makes it easier to use Apache Zookeeper
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2025-04-22 |
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r-bibtex
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public |
Utility to parse a bibtex file.
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2025-04-22 |
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fs
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public |
Filesystem abstraction layer for Python
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2025-04-22 |
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r-fst
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public |
Multithreaded serialization of compressed data frames using the 'fst' format. The 'fst' format allows for random access of stored data and compression with the LZ4 and ZSTD compressors created by Yann Collet. The ZSTD compression library is owned by Facebook Inc.
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2025-04-22 |
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r-naturalsort
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public |
Provides functions related to human natural ordering. It handles adjacent digits in a character sequence as a number so that natural sort function arranges a character vector by their numbers, not digit characters. It is typically seen when operating systems lists file names. For example, a sequence a-1.png, a-2.png, a-10.png looks naturally ordered because 1 < 2 < 10 and natural sort algorithm arranges so whereas general sort algorithms arrange it into a-1.png, a-10.png, a-2.png owing to their third and fourth characters.
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2025-04-22 |
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hcephes
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public |
Netlib Cephes library
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2025-04-22 |
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r-wavethresh
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public |
Performs 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.
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2025-04-22 |
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r-rms
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public |
Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
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2025-04-22 |
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r-polspline
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public |
Routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails, logspline, lspec, polyclass, and polymars, by C. Kooperberg and co-authors.
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2025-04-22 |
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r-moments
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public |
Functions to calculate: moments, Pearson's kurtosis, Geary's kurtosis and skewness; tests related to them (Anscombe-Glynn, D'Agostino, Bonett-Seier).
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2025-04-22 |
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r-mcmcpack
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public |
Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return 'coda' mcmc objects that can then be summarized using the 'coda' package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.
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2025-04-22 |
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r-mcmc
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public |
Simulates continuous distributions of random vectors using Markov chain Monte Carlo (MCMC). Users specify the distribution by an R function that evaluates the log unnormalized density. Algorithms are random walk Metropolis algorithm (function metrop), simulated tempering (function temper), and morphometric random walk Metropolis (Johnson and Geyer, 2012, <doi:10.1214/12-AOS1048>, function morph.metrop), which achieves geometric ergodicity by change of variable.
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2025-04-22 |
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r-geepack
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public |
Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses.
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2025-04-22 |
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r-ecp
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public |
Implements various procedures for finding multiple change-points. Two methods make use of dynamic programming and pruning, with no distributional assumptions other than the existence of certain absolute moments in one method. Hierarchical and exact search methods are included. All methods return the set of estimated change- points as well as other summary information.
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2025-04-22 |
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r-clue
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public |
CLUster Ensembles.
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2025-04-22 |
