Results 51 to 60 of about 173,980 (152)

Package CovRegpy: Regularized covariance regression and forecasting in Python

Annals of Actuarial Science
This paper will outline the functionality available in the CovRegpy package which was written for actuarial practitioners, wealth managers, fund managers, and portfolio analysts in the language of Python 3.11.
Cole van Jaarsveldt, Gareth W. Peters, M. Ames, Michael Chantler   +3 more
semanticscholar   +1 more source

Variable elimination for building interpreters [PDF]

, 2010
In this paper, we build an interpreter by reusing host language functions instead of recoding mechanisms of function application that are already available in the host language (the language which is used to build the interpreter).
Cohen, Julien, Giavitto, Jean-Louis, Michel, Olivier   +2 more
core   +3 more sources

SimpleSBML: A Python package for creating and editing SBML models

bioRxiv, 2015
Summary In this technical report we describe a simple extension to python-libSBML that allows users of Python to more easily construct SBML based models. The most commonly used package for constructing SBML models in Python is python-libSBML based on the
Caroline Cannistra, Kyle Medley, H. Sauro   +2 more
semanticscholar   +1 more source

Theano: new features and speed improvements [PDF]

, 2012
Theano is a linear algebra compiler that optimizes a user's symbolically-specified mathematical computations to produce efficient low-level implementations.
Bastien, Frédéric, Bengio, Yoshua, Bergeron, Arnaud, Bergstra, James, Bouchard, Nicolas, Goodfellow, Ian, Lamblin, Pascal, Pascanu, Razvan, Warde-Farley, David   +8 more
core  

LDTk: Limb Darkening Toolkit

, 2015
We present a Python package LDTk that automates the calculation of custom stellar limb darkening (LD) profiles and model-specific limb darkening coefficients (LDC) using the library of PHOENIX-generated specific intensity spectra by Husser et al. (2013).
Aigrain, Suzanne, Parviainen, Hannu
core   +1 more source

A scripted control system for autonomous hardware timed experiments

, 2013
We present the labscript suite, an open-source experiment control system for automating shot-based experiments and their analysis. Experiments are composed as Python code, which is used to produce low-level hardware instructions.
Anderson, R. P., Billington, C. J., Helmerson, K., Jasperse, M., Johnstone, S. P., Starkey, P. T., Turner, L. D.   +6 more
core   +1 more source

DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge

, 2017
The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for processing large astronomical datasets at a scale required by the Square Kilometre Array Phase 1 (SKA1).
An, Tao, Boulton, Mark, Cooper, Ian, Dodson, Richard, Dolensky, Markus, Lao, Baoqiang, Mei, Ying, Pallot, Dave, Tobar, Rodrigo, Vinsen, Kevin, Wang, Feng, Wang, Ruonan, Wicenec, Andreas, Wu, Chen   +13 more
core  

Dynamic Control Flow in Large-Scale Machine Learning

, 2018
Many recent machine learning models rely on fine-grained dynamic control flow for training and inference. In particular, models based on recurrent neural networks and on reinforcement learning depend on recurrence relations, data-dependent conditional ...
Abadi, Martín, Barham, Paul, Brevdo, Eugene, Burrows, Mike, Davis, Andy, Dean, Jeff, Ghemawat, Sanjay, Harley, Tim, Hawkins, Peter, Isard, Michael, Kudlur, Manjunath, Monga, Rajat, Murray, Derek, Yu, Yuan, Zheng, Xiaoqiang   +14 more
core   +1 more source

Canonical time-series features for characterizing biologically informative dynamical patterns in fMRI

Aperture Neuro
The interdisciplinary time-series analysis literature encompasses thousands of statistical features for quantifying interpretable properties of dynamical data.
Imran Alam, Brendan Harris, Patrick Cahill, Oliver Cliff, Marija Markicevic, Valerio Zerbi, Ben D. Fulcher   +6 more
doaj   +1 more source

Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models [PDF]

Proc. ACM Softw. Eng.
Pythonic idioms are highly valued and widely used in the Python programming community. However, many Python users find it challenging to use Pythonic idioms. Adopting rule-based approach or LLM-only approach is not sufficient to overcome three persistent
Zejun Zhang, Zhenchang Xing, Xiaoxue Ren, Qinghua Lu, Xiwei Xu   +4 more
semanticscholar   +1 more source