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Python

Known as: Pythonistas, Python program, Py3K 
Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability… Expand
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<oXygen/> XML EditorACCU (organisation)Actor modelAlgorithms-Aided Design (AAD)
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
DeepXDE: A Deep Learning Library for Solving Differential Equations
Deep learning has achieved remarkable success in diverse applications; however, its use in solving partial differential equations… Expand
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Review
2020
Review
2020
Behaviour Suite for Reinforcement Learning
This paper introduces the Behaviour Suite for Reinforcement Learning, or bsuite for short. bsuite is a collection of carefully… Expand
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Review
2020
Review
2020
dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences
We present dynesty, a public, open-source, Python package to estimate Bayesian posteriors and evidences (marginal likelihoods… Expand
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Review
2019
Review
2019
Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science
Process mining, i.e., a sub-field of data science focusing on the analysis of event data generated during the execution of… Expand
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Review
2018
Review
2018
Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy)
Tensor product state (TPS) based methods are powerful tools to efficiently simulate quantum many-body systems in and out of… Expand
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Review
2018
Review
2018
Image Processing with Python
To provide a tutorial guide to image processing. To show how to manipulate images. To provide tools to analyze images… Expand
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Review
2018
Review
2018
Raincloud plots: a multi-platform tool for robust data visualization
Across scientific disciplines, there is a rapidly growing recognition of the need for more statistically robust, transparent… Expand
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Review
2018
Review
2018
PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals
We introduce new modules in the open-source PyCBC gravitational- wave astronomy toolkit that implement Bayesian inference for… Expand
Review
2017
Review
2017
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Even todays most advanced machine learning models are easily fooled by almost imperceptible perturbations of their inputs… Expand
Highly Cited
2011
Highly Cited
2011
Scikit-learn: Machine Learning in Python
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale… Expand
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