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ORCID24th SciPy 2025: Tacoma, WA, USA
- Amey Ambade, Ana E. Comesana, Charles Lindsey, Franklin Koch, Hongsup Shin, Rowan Cockett, Sanhita Joshi, Sean Freeman:
Proceedings of the 24th Python in Science Conference, SciPy 2025, Tacoma, Washington, USA, July 7-13, 2025. scipy.org 2025 - Jiajia Ding, Arham Mehta, Nirmal Juluru:
A Lightweight Pipeline for Rewards-Guided Synthetic Text Generation Using NeMo and RAPIDS. 1-13 - Avik Basu:
Explaining ML predictions with SHAP. 14-37 - Carl M. Kadie:
Explore Solvable and Unsolvable Equations with SymPy. 38-53 - Cassia Cai, Jacob T. Cohen, Hillary Scannell, Valentina Staneva, Lu Anne Thompson:
Ocetrac: An Object-based Framework for Tracking and Quantifying Climate Events in Gridded Datasets. 54-66 - Cyril Joly:
OptiMask: Efficiently Finding the Largest NaN-Free Submatrix. 67-74 - Deepyaman Datta:
Python is all you need: an overview of the composable, Python-native data stack. 75-84 - Emily Dorne, Jay Qi, Peter Bull, Colleen Stephens, Mattia Bessone, Benjamin Debetencourt, Barbara Fruth, David Morgan, Meredith S. Palmer, Crickette Sanz, Janika Wendefeuer, Catherine Crockford, Tobias Deschner, Kevin Langergraber, Alex K. Piel, Martha Robbins, Volker Sommer, Fiona A. Stewart, Roman M. Wittig, Klaus Zuberbühler, Hjalmar S. Kühl, Mimi Arandjelovic:
Zamba: Computer vision for wildlife conservation. 85-111 - Edson Bomfim:
A Practical Guide to Data Quality: Problems, Detection, and Strategy. 112-123 - Enrique Molina-Giménez, Germán T. Eizaguirre, Pedro García López:
On the Path to Seamless Python Serverless Data Analytics. 124-137 - Fernando Cervantes-Sanchez:
An Active Learning Plugin In Napari To Fine-Tune Models For Large-scale Bioimage Analysis. 138-148 - Ianna Osborne, Jerry Jiahong Ling:
Advancing High Energy Physics Data Analysis with Julia - A Case for JuliaHEP. 149-152 - Ivan Perez Avellaneda:
CFSpy: A Python Library for the Computation of Chen-Fliess Series. 153-172 - Project Jupyter, Evan Bolyen, J. Gregory Caporaso, Rowan Cockett, Danny Garside, Chris Holdgraf, Angus Hollands, Julia Kent, Franklin Koch, Jim Madge, Matthew McKay, Mike Morrison, Fernando Pérez, Steve Purves, Min Ragan-Kelley, Brian E. J. Rose, Malvika Sharan, Brigitta M. Sipocz, Stefan Johann van der Walt, Kirstie Jane Whitaker:
Jupyter Book 2 and the MyST Document Stack. 173-193 - Kedar Dabhadkar:
Eyes in the sky: Estimating Inland Water Quality Using Landsat Data. 194-201 - Kyohei Sahara:
Quantum Chemistry Acceleration: Comparative Performance Analysis of Modern DFT Implementations. 202-206 - Yu Chen, Scott Ferson:
Imprecise uncertainty management with uncertain numbers to facilitate trustworthy computations. 207-221 - Marco Colonna, Johannes Albrecht, Florian U. Bernlochner, Lorenz Gärtner, Abhijit Mathad, Biljana Mitreska:
Redist, a python tool for model-agnostics binned-likelihood fits in High Energy Physics. 222-231 - Matthew Feickert, Ruben Arts, John Kirkham:
Reproducible Machine Learning Workflows for Scientists with Pixi. 232-244 - Heberto Mayorquin, Cody Baker, Paul Adkisson-Floro, Szonja Weigl, Alessandra Trappani, Luiz Tauffer, Oliver Rübel, Benjamin K. Dichter:
NeuroConv: Streamlining Neurophysiology Data Conversion to the NWB Standard. 245-258 - Nicholas McCarty:
Performing Object Detection on Drone Orthomosaics with Meta's Segment Anything Model (SAM). 259-268 - Oleksandr Yardas, Paul K. Romano, Madicken Muk, Kathryn D. Huff:
Extension of the OpenMC depletion module for transport-independent depletion. 269-277 - Andrin Rehmann, Dion Häfner, Alessandro Angioi, Yongquan Qu, Andrei Paleyes:
Pipeline-level differentiable programming for the real world. 278-285 - Riku Sakamoto:
Phlower: A Deep Learning Framework Supporting PyTorch Tensors with Physical Dimensions. 286-293 - Rowan Cockett, Franklin Koch, Steve Purves:
SciPy Proceedings: An Exemplar for Publishing Computational Open Science. 294-302 - Deborah Khider, Julien Emile-Geay, David Edge, Nicholas McKay:
Empowering Learners - Teaching Reproducible Research with Open-Source Tools. 303-310 - Siu Kwan Lam, Stuart Archibald, Stanley Seibert:
Numba v2: Towards a SuperOptimizing Python Compiler. 311-330 - Sanjiban Sengupta, Lorenzo Moneta:
Challenges and Implementations for ML Inference in High-energy Physics. 331-341 - Noor Aftab:
Unlocking the Missing 78%: Inclusive Communities for the Future of Scientific Python. 342-358 - Vadym Pasko:
Enhancing Curve Fitting with SciPy: Interactive Spline Modeling and Reproducibility with SplineCloud. 359-378
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last updated on 2025-12-09 23:38 CET by the dblp team
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