python3 software to reproduce Figs 6, 7 and 8. حسب Stéphane Plaszczynski (14992817)

Multiprocessing and GPU application of SVMs significantly reduces run-times. حسب Bjørn André Bredesen-Aa (13767126)

الموضوعات:

Overview of the implemented simulation tool and training framework in Diffrax. حسب Paul van Lent (16876977)

الموضوعات:

Prediction accuracy analysis over time steps. حسب Mohanad Faeq Ali (21354273)

الموضوعات:

Fitting a feast/famine cycle to a glycolysis model. حسب Paul van Lent (16876977)

الموضوعات:

Computation time of the vector and tensor-based implementations. حسب Etienne Combrisson (9580631)

Five Operator Lattice Simulation حسب James McDaniel (22522571)

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Python code. حسب Ryo Iwasaki (14210016)

Accelerating Pythonic Coupled-Cluster Implementations: A Comparison Between CPUs and GPUs حسب Maximilian H. Kriebel (17896949)

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Schematic showing how the tracking model uses the inputs to make predictions. حسب Owen M. O’Connor (11965460)

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For accurate DTA predictions, ProSmith requires training on identical drugs but not on similar proteins. حسب Alexander Kroll (9304225)

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PHOTONAI explorer. حسب Ramona Leenings (11167294)

FPR and FNR analysis based on different time steps. حسب Mohanad Faeq Ali (21354273)

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Running times of equivalent programs based on <i>TextFormats</i> or other libraries, implemented in Nim, Python, and C. حسب Giorgio Gonnella (6670052)

"…<p>Running times of equivalent programs based on <i>TextFormats</i> or other libraries, implemented in Nim, Python, and C.…"

Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education حسب Suha Assayed (22454038)

"…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …"

Python Script for the QSAR Model Building. حسب Md. Al-Amin (6270104)

Probabilities of normal and various cyber attack types over time sequence. حسب Mohanad Faeq Ali (21354273)

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Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf حسب Chen Chen (6544)

"…Here, we introduce an application programming interface (API) that implements both BART and GP for estimating averaged treatment effect (ATE) and conditional averaged treatment (CATE) for the two-stage time-varying treatment strategies.…"

Predictions, observations and residuals of Monod model fitted to backscatter data. حسب Laura Marie Helleckes (12206910)

Core python codes for the machine-learning & deep learning model. حسب Archana Prabahar (21030164)