Results 11 to 20 of about 110,857 (196)
Programming biological models in Python using PySB [PDF]
Mathematical equations are fundamental to modeling biological networks, but as networks get large and revisions frequent, it becomes difficult to manage equations directly or to combine previously developed models. Multiple simultaneous efforts to create
Carlos F Lopez +3 more
doaj +2 more sources
Asynchronous Execution of Python Code on Task Based Runtime Systems [PDF]
Despite advancements in the areas of parallel and distributed computing, the complexity of programming on High Performance Computing (HPC) resources has deterred many domain experts, especially in the areas of machine learning and artificial intelligence
Amini, Parsa +11 more
core +3 more sources
Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets
Construction of graph-based approximations for multi-dimensional data point clouds is widely used in a variety of areas. Notable examples of applications of such approximators are cellular trajectory inference in single-cell data analysis, analysis of ...
Alexander Chervov +2 more
doaj +1 more source
CppInterOp: Advancing Interactive C++ for High Energy Physics [PDF]
The Cling C++ interpreter has transformed language bindings by enabling incremental compilation at runtime. This allows Python to interact with C++ on demand and lazily construct bindings between the two.
Jomy Aaron +4 more
doaj +1 more source
Traditional villages are repositories for preserving human artifacts and cultural heritage. An investigation of the spatial distribution characteristics and factors influencing traditional villages in provincial administrative regions can provide new ...
Wenxiang Liu, Ying Xue, Cun Shang
doaj +1 more source
Introduction. At present, with the increase in the number of data and the complexity of various processes in many branches of the national economy, the classical methods of answering have ceased to meet the needs.
Victor Andriichuk, Violeta Tretynyk
doaj +1 more source
TensorKrowch: Smooth integration of tensor networks in machine learning [PDF]
Tensor networks are factorizations of high-dimensional tensors into networks of smaller tensors. They have applications in physics and mathematics, and recently have been proposed as promising machine learning architectures.
José Ramón Pareja Monturiol +2 more
doaj +1 more source
Inform: Efficient Information-Theoretic Analysis of Collective Behaviors
The study of collective behavior has traditionally relied on a variety of different methodological tools ranging from more theoretical methods such as population or game-theoretic models to empirical ones like Monte Carlo or multi-agent simulations.
Douglas G. Moore +3 more
doaj +1 more source
Pytrec_eval: An Extremely Fast Python Interface to trec_eval
We introduce pytrec_eval, a Python interface to the tree_eval information retrieval evaluation toolkit. pytrec_eval exposes the reference implementations of trec_eval within Python as a native extension.
Koepke H., ST., Tague J.
core +1 more source
DOLFIN: Automated Finite Element Computing [PDF]
We describe here a library aimed at automating the solution of partial differential equations using the finite element method. By employing novel techniques for automated code generation, the library combines a high level of expressiveness with efficient
Logg, Anders, Wells, GN
core +2 more sources

