Model for the maximal effective bandwidth of numerical models (lines = model prediction by Eq 12; symbols = measured maximal effective bandwidth; filled = f64; hollow = f32; black... by Xuzhen He (14676114)

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Diagram of data analysis and implementation of the package BOOME. by Li-Pang Chen (9747423)

Slides: A better strategy for interpolating gravity and magnetic data by Santiago Rubén Soler (6476147)

“…</div><div><br></div><div>The source code developed for this study is based on the EQL implementation available in Harmonica (fatiando.org/harmonica), an open-source Python library for modelling and processing gravity and magnetic data. …”

Left schematic of the XOR gate implementation [11]. by Fabricio Cravo (21387854)

Experimental results for feature selection performance (F1-scores and numbers of non-zero variables in parentheses) with the semi-simulated data based on four TCGA cancer datasets. by Jongkwon Jo (14204404)

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Experimental results. by Jongkwon Jo (14204404)

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Experimental results for feature selection performance (F1-scores) with the simulation data. by Jongkwon Jo (14204404)

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DataSheet1_Optimisation of Water-Energy Networks in Process Industry: Implementation of Non-Linear and Multi-Objective Models.PDF by Miguel Castro Oliveira (11975819)

“…In this work, two approaches for the solving of an optimisation problem related to the improvement of water and energy use in a process industry plant (three water-using processes) are implemented. These approaches consist on the development of a mixed-integer non-linear programming (MINLP) model and a multi-objective programming (MOP) model using the Python language. …”

Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

“…<p>Biological neural networks are often modeled as systems of coupled, nonlinear, ordinary or partial differential equations. …”

A high-performance and highly reusable fast multipole method library and its application to solvation energy calculations at virus-scale by Tingyu Wang (12342757)

“…It empowers researchers to compute solvation energy at the scale of viruses interactively via easy-to-use Python interfaces. The 1/N convergence rate observed in mesh-refinement studies confirms code correctness, and result comparison with other trusted PB software shows agreement using a wide range of proteins.Performance results report timings and breakdowns with between 8,000 and 2 million boundary elements and confirm the linear complexity in both time and space. …”

Example change statistic implementations. by Alex Stivala (8356257)

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Python Code for SRD GUI by Doron Nakar (21664370)

CSSI Framework: An open source software ecosystem for plasma physics by Nicholas Murphy (8400300)

“…The ultimate goal of this project is to foster a community-wide open source software ecosystem for plasma research and education. Following Astropy's model, functionality needed across disciplines is being implemented in the PlasmaPy core package, while more specialized functionality will be developed in affiliated packages. …”

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

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DIWGAN code based on TensorFlow by Zaifeng Shi (8612667)

Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations;... by Xuzhen He (14676114)

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Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

“…This note provides guidelines for achieving high performance in Python for optical imaging applications, and introduces an open source framework 'CAS' for rapid protoyping of imaging system software. …”

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

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The three-step workflow for generating biomass objective functions from experimental data with BOFdat. by Jean-Christophe Lachance (6619307)

BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)