Python3 implementation of the correlation-based regression algorithm. حسب Sebastian J. Kopetzky (6059033)

Implementations benchmark. حسب Serena Aneli (17002149)

EthoPy: Reproducible Behavioral Neuroscience Made Simple حسب Alexandros Evangelou (22235917)

Hardware parameters of optimal implementations. حسب Xuzhen He (14676114)

الموضوعات:

Locality of reference in optimal implementations. حسب Xuzhen He (14676114)

الموضوعات:

Simple implementation examples of agent AI on free energy calculation and phase-field simulation حسب Toshiyuki Koyama (22828581)

"…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…"

Implementation of the 1D heat model with array programming. حسب Xuzhen He (14676114)

الموضوعات:

Recombination and mutation estimation times using the fastest (dynamic-numba) likelihood implementation depending on the number of markers. حسب Serena Aneli (17002149)

Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments حسب Oliver Rodríguez (14038920)

"…Our library has potential applications that expand beyond the automation of simple repetitive tasks; for example, it can interface with peripheral hardware and well-established third-party Python libraries as part of a more complex and intelligent setup that relies on laboratory automation, advanced optimization, and machine learning.…"

Hard Potato: A Python Library to Control Commercial Potentiostats and to Automate Electrochemical Experiments حسب Oliver Rodríguez (14038920)

"…Our library has potential applications that expand beyond the automation of simple repetitive tasks; for example, it can interface with peripheral hardware and well-established third-party Python libraries as part of a more complex and intelligent setup that relies on laboratory automation, advanced optimization, and machine learning.…"

Fused operations (filled circles) vs. simple operations (hollow circles) and XLA (filled squares) vs. without XLA (hollow squares) (black = AXPY1D; red = XPXPY6_1D). حسب Xuzhen He (14676114)

الموضوعات:

Entropy Scaling of ViscosityI: A Case Study of Propane حسب Ian H. Bell (1307499)

"…The Supporting Information includes the relevant data in tabular form and a Python implementation of the model.…"

Entropy Scaling of ViscosityI: A Case Study of Propane حسب Ian H. Bell (1307499)

"…The Supporting Information includes the relevant data in tabular form and a Python implementation of the model.…"

Optimal implementation of matrix operations on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY2D;... حسب Xuzhen He (14676114)

الموضوعات:

PHOTONAI explorer. حسب Ramona Leenings (11167294)

GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour حسب Felix Molter (8130300)

"…Here, we present GLAMbox, a Python-based toolbox that is built upon PyMC3 and allows the easy application of the gaze-weighted linear accumulator model (GLAM) to experimental choice data. …"

Optimal implementation of vector operations on the GPU platform (single precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY1D;... حسب Xuzhen He (14676114)

الموضوعات:

Benchmarked bandwidth. حسب Xuzhen He (14676114)

الموضوعات:

Information of the tested CPU platforms. حسب Xuzhen He (14676114)

الموضوعات:

Boundary-value problems and solutions for the examined numerical models. حسب Xuzhen He (14676114)

الموضوعات: