Intermediate/Advanced Tutorials
Bayesian Data Science by Simulation [More Info]
Speaker: Eric Ma, Novartis Institutes for Biomedical Research
Speaker: Hugo Bowne-Anderson, DataCamp
Deep Learning from Scratch with PyTorch [More Info]
Speaker: Hugo Bowne-Anderson, DataCamp
Speaker: Dhavide Aruliah, Quansight
Parallel and Distributed Computing in Python with Dask [More Info]
Speaker: James Bourbeau, Quansight
Speaker: Mike McCarty, Capital One
Speaker: Dharhas Pothina, Quansight
Spatial Data Analysis with PySAL [More Info]
Speaker: Serge Rey, University of California, Riverside
Speaker: Elijah Knaap, University of California
Xarray for Scalable Scientific Data Analysis [More Info]
Speaker: Joseph Hamman, Research Applications Laboratory, National Center for Atmospheric Research
Speaker: Ryan Abernathey, Columbia University / Lamont Doherty Earth Observatory
Speaker: Deepak Cherian, National Center for Atmospheric Research
Speaker: Stephan Hoyer, Google Research
 
Introductory Tutorials
Introduction to Conda for (Data) Scientists [More Info]
Speaker: David Pugh, King Abdullah University of Science and Technology (KAUST)
Introduction to Numerical Computing With NumPy [More Info]
Speaker: Eric Olsen, Enthought, Inc.
Introduction to Python and Programming [More Info]
Speaker: Matt Davis, Populus
Learn Python through Data Processing in Pandas [More Info]
Speaker: Daniel Chen, Virginia Tech
The Jupyter Interactive Widget Ecosystem [More Info]
Speaker: Matt Craig, Minnesota State University Moorhead
Speaker: Maarten Breddels
Speaker: Martin Renou, QuantStack
Speaker: Mehmet Bektas, Bloomberg LP
Speaker: Itay Dafna, Bloomberg LP
 
Conference Talks
Astronomy and Astrophysics
Applying Probabilistic Inference to Astronomical Spectroscopy [More Info]
Speaker: Michael Gully-Santiago, The University of Texas at Austin
Pyoscode: Fast Solutions of Oscillatory ODEs in Physics [More Info]
Speaker: Fruzsina Agocs, Kavli Institute for Cosmology, Cambridge and Cavendish Laboratory, University of Cambridge
Speaker: Will Handley, Kavli Institute for Cosmology, Cambridge and Cavendish Laboratory, University of Cambridge
Speaker: Anthony Lasenby, Kavli Institute for Cosmology, Cambridge and Cavendish Laboratory, University of Cambridge
Speaker: Mike Hobson, Cavendish Laboratory, University of Cambridge
Remote DataFrames and Interactive Exploration of Big Astronomical Datasets with Vaex [More Info]
Speaker: Maarten Breddels
Speaker: Sergey Koposov, Carnegie Mellon University
Speaker: Joshua Peek, Space Telescope Science Institute
Solving Spectroscopic Problems with Pythonic Workflows and Deep Learning [More Info]
Speaker: Kelvin Lee, Center for Astrophysics | Harvard & Smithsonian
Speaker: Alexander MacLeod, Center for Astrophysics | Harvard & Smithsonian
Speaker: Michael McCarthy, Center for Astrophysics | Harvard & Smithsonian
SunPy: Status of the Project and v1.0 Core Package [More Info]
Speaker: Monica Bobra, Stanford University
Sustaining and Growing Astropy, within and beyond Astronomy [More Info]
Speaker: Brigitta Sipőcz, DIRAC Institute, Department of Astronomy, University of Washington
 
Biology and Bioinformatics
Avocado: Characterizing Human Epigenomics through Imputation [More Info]
Speaker: Jacob Schreiber, University of Washington
Continual Updating of Evolutionary Estimates in the Open Tree of Life [More Info]
Speaker: Luna L Sanchez Reyes, University of California Merced
Speaker: Martha Kandziora, University of California Merced
Speaker: Emily Jane McTavish, University of California Merced
Frictionless Data for Reproducible Biology [More Info]
Speaker: Lilly Winfree, Open Knowledge Foundation
High-Dimensional Data Visualization with Clustergrammer2 [More Info]
Speaker: Nicolas Fernandez, Icahn School of Medicine at Mount Sinai
Making Sense of Clinical Data: Dimension Reduction, Data Visualization, and Clustering to find Biological Mechanism [More Info]
Speaker: Raha Dastgheyb, Johns Hopkins Medical Institute
Molecular Infrastructure for Modeling Full Viruses with Pythonic-mediated Packages [More Info]
Speaker: Horacio Vargas Guzman, Theory of Soft Matter, Josef Stefan Institute
Why Design Abstraction Matters for Analytics Tools: Accessible Neuroimaging Analysis with Neuro-Learn Tools [More Info]
Speaker: Eshin Jolly, Dartmouth College
Speaker: Luke Chang, Dartmouth College
Speaker: Jin Hyun Cheong, Dartmouth College
 
Earth, Ocean Geo and Atmospheric Science
A New Partitioning Algorithm for Optimizing Parallelization of Flow Networks [More Info]
Speaker: Edward Tiernan, University of Texas at Austin
Speaker: Ben Hodges, University of Texas at Austin
Detecting Plastics in Coastal Waters with Sentinel Satellite Data and Machine Learning [More Info]
Speaker: Stuart Lynn, Two Sigma
Speaker: Lauren Biermann, Plymouth Marine Laboratory
Speaker: Daniel Clewley, Plymouth Marine Laboratory
Speaker: Stephen Goult, Plymouth Marine Laboratory
Geospatial Analysis in the Cloud Using PODPAC and JupyterLab [More Info]
Speaker: Matt Ueckermann, Creare LLC
Speaker: Jerry Bieszczad, Creare LLC
Speaker: Marc Shapiro, Creare LLC
Speaker: David Sullivan, Creare LLC
Speaker: Jeffrey Milloy, Creare LLC
Machine Learning with Impact: Classifying Core Images from the Chicxulub Crater [More Info]
Speaker: Brendon Hall, Enthought, Inc.
Speaker: Sean Gulick, University of Texas
Speaker: Jens Ormö, Centro de Astrobiología Instituto Nacional de Técnica Aeroespacial-Spanish National Research Counci
Speaker: Auriol Rae, Trinity College, University of Cambridge
Measuring OpenStreetMap Building Footprint Completeness Using Human Settlement Layers [More Info]
Speaker: Ardie Orden, Thinking Machines Data Science
Speaker: Pia Faustino, Thinking Machines Data Science
Speaker: Mark Steve Samson, Thinking Machines Data Science
Oceanography, Data Ontology, and the Semantic Web [More Info]
Speaker: Jaclyn Saunders, Woods Hole Oceanographic Institution
Speaker: Adam Shepherd, Woods Hole Oceanographic Institution
Speaker: Danie Kinkade, Woods Hole Oceanographic Institution
Speaker: Mak Saito, Woods Hole Oceanographic Institution
Project Mjolnir: A Modular, Open-source Platform for Developing Scientific IoT Sensor Networks [More Info]
Speaker: C. A. M. Gerlach, University of Alabama in Huntsville
Spatial Algorithms at Scale with spatialpandas [More Info]
Speaker: Kim Pevey, Quansight
Speaker: Adam Lewis, Quansight
Speaker: Dharhas Pothina, Quansight
Treating Gridded Geospatial Data as Point Data to Simplify Analytics [More Info]
Speaker: Christine Smit, Telophase LLC
Speaker: Hailiang Zhang, ADNET Systems Inc
Speaker: Mahabaleshwara Hegde, ADNET Systems Inc
Speaker: Faith Giguere, ADNET Systems Inc
Speaker: Long Pham, NASA
 
General
Align Incentives Across Use Cases for Domain Specific Scientific Software [More Info]
Speaker: Sebastian Benthall, Econ-ARK
Speaker: Mridul Seth, Econ-ARK
Continuous Integration for Scientific Python Projects [More Info]
Speaker: Stanley Seibert, Anaconda
Developing an Open-source Curriculum for Newcomers to Geospatial Python [More Info]
Speaker: Kunal Marwaha, University of California Berkeley
Speaker: Ryan Avery, University of California Santa Barbara
F2PY: Bringing Fast Code into the Future [More Info]
Speaker: Melissa Weber Mendonça, Quansight
GPU Packaging for the Community [More Info]
Speaker: John Kirkham, NVIDIA
Jupyter Notebooks for Spacecraft and Robot Dynamics Simulations [More Info]
Speaker: Aaron Gaut, NASA Jet Propulsion Laboratory
Speaker: Jonathan Cameron, NASA Jet Propulsion Laboratory
Speaker: Abhinandan Jain, NASA Jet Propulsion Laboratory
pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd [More Info]
Speaker: Matthew Feickert, University of Illinois at Urbana-Champaign
Speaker: Lukas Heinrich, CERN
Speaker: Giordon Stark, Santa Cruz Institute for Particle Physics, UC Santa Cruz
Scikit-geometry and Generic Computing in Python [More Info]
Speaker: Wolf Vollprecht, QuantStack
 
High Performance Python
Analyzing the Performance of Python Applications Using Multiple Levels of Parallelism [More Info]
Speaker: Christian Herold, Technische Universität Dresden
Speaker: Andreas Gocht, Technische Universität Dresden
Arkouda: Terascale Data Science at Interactive Rates [More Info]
Speaker: Ben Albrecht, Hewlett Packard Enterprise
Speaker: Michael Merrill, US Department of Defense
Speaker: William Reus, US Department of Defense
Speaker: Brad Chamberlain, Hewlett Packard Enterprise
Awkward Array: Manipulating JSON-like Data with NumPy-like Idioms [More Info]
Speaker: Jim Pivarski, Princeton University
Speaker: Ianna Osborne, Princeton University
Speaker: Peter Elmer, Princeton University
Boost-histogram: High-Performance Histograms as Objects [More Info]
Speaker: Henry Schreiner, Princeton University
Speaker: Jim Pivarski, Princeton University
Speaker: Hans Dembinski, TU Dortmund
Bringing GPU Support to Datashader: A RAPIDS Case Study [More Info]
Speaker: Jon Mease, Johns Hopkins Applied Physics Laboratory
cuSignal - GPU Accelerating SciPy Signal with Numba and CuPy [More Info]
Speaker: Adam Thompson, NVIDIA
Fluctuation X-ray Scattering Real-time App [More Info]
Speaker: Antoine Dujardin, SLAC National Accelerator Laboratory
Speaker: Elliott Slaugther, SLAC National Accelerator Laboratory
Speaker: Jeffrey Donatelli, Lawrence Berkeley National Laboratory
Speaker: Peter Zwart, Lawrence Berkeley National Laboratory
Speaker: Chun Hong Yoon, SLAC National Accelerator Laboratory
Interactive Supercomputing with Jupyter at the National Energy Research Scientific Computing Center [More Info]
Speaker: Rollin Thomas, Lawrence Berkeley National Laboratory
Speaker: Shane Canon, Lawrence Berkeley National Laboratory
Speaker: Shreyas Cholia, Lawrence Berkeley National Laboratory
Speaker: Matt Henderson, Lawrence Berkeley National Laboratory
Speaker: William Krinsman, Lawrence Berkeley National Laboratory
Speaker: Kelly Rowland, Lawrence Berkeley National Laboratory
Speaker: Trevor Slaton, Lawrence Berkeley National Laboratory
Leading Magnetic Fusion Energy Science into the Big-and-fast Data Lane [More Info]
Speaker: Ralph Kube, Princeton Plasma Physics Laboratory
Speaker: Randy Michael Churchill, Princeton Plasma Physics Laboratory
Speaker: Cs Chang, Princeton Plasma Physics Laboratory
Speaker: Jong Youl Choi, Oak Ridge National Laboratory
Speaker: Ruonan Wang, Oak Ridge National Laboratory
Speaker: Scott A Klasky, Oak Ridge National Laboratory
Legate NumPy: Accelerated and Distributed Array Computing [More Info]
Speaker: Michael Bauer, NVIDIA
 
Machine Learning
dabl: Automatic Machine Learning with a Human in the Loop [More Info]
Speaker: Andreas Mueller, Columbia University
Forecasting Solar Flares [More Info]
Speaker: Monica Bobra, Stanford University
Geomstats: a Python Package for Riemannian Geometry in Machine Learning [More Info]
Speaker: Nina Miolane, Stanford University
JAX: Accelerated Research via Composable Function Transformations in Python [More Info]
Speaker: James Bradbury, Google
Speaker: Matthew Johnson, Google
Learning from Evolving Data Streams [More Info]
Speaker: Jacob Montiel, University of Waikato
Machine Learning Model Serving: The Next Step [More Info]
Speaker: Simon Mo, Anyscale, Inc.
Optimizing Humans and Machines to Advance Science [More Info]
Speaker: Ana Comesana, Energies Technologies Area, Lawrence Berkeley National Laboratory
Speaker: Tyler Huntington, Energies Technologies Area, Lawrence Berkeley National Laboratory
Speaker: Morgan Mayer, School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University
Speaker: Kyle Niemeyer, School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University
Speaker: Vi Rapp, Energies Technologies Area, Lawrence Berkeley National Laboratory
Pandera: Statistical Data Validation of Pandas Dataframes [More Info]
Speaker: Niels Bantilan, Talkspace
Ray: A System for Scalable Python and Machine Learning [More Info]
Speaker: Robert Nishihara, Anyscale, Inc.
Visualizing Gender Bias in Deep Learning Models [More Info]
Speaker: Barak Krakauer, Levi Strauss & Co.
 
Maintainers Track
Dask [More Info]
Speaker: Matthew Rocklin, Coiled Computing
Four years of JOSS: the Journal of Open Source Software [More Info]
Speaker: Kyle Niemeyer, Assistant Professor, Oregon State University
Matplotlib: Redesigning our Data Model [More Info]
Speaker: Hannah Aizenman, City University of New York
NumPy [More Info]
Speaker: Melissa Weber Mendonça, Quansight
Scikit-learn Updates: More Simple and Powerful Machine Learning in Python [More Info]
Speaker: Andreas Mueller, Columbia University
SciPy [More Info]
Speaker: Ilhan Polat, SciPy
 
Materials Science
AiiDA 1.0: A Scalable Simulation Platform to Manage High-throughput High-performance Simulations with Automatic Provenance Tracking [More Info]
Speaker: Carl Simon Adorf, École Polytechnique Fédérale de Lausanne (EPFL)
Speaker: Sebastiaan Huber, École Polytechnique Fédérale de Lausanne (EPFL)
c3dp: Computational Design of a 3D Printed Collimator Optimized for Neutron Scattering [More Info]
Speaker: Fahima Islam, Oak Ridge National Laboratory
Speaker: Jay Jay Billings, Oak Ridge National Laboratory
Speaker: Jiao Lin, Oak Ridge National Laboratory
Speaker: Bianca Haberl, Oak Ridge National Laboratory
Speaker: Ian Lumsden, Oak Ridge National Laboratory
Speaker: Garrett Granroth, Oak Ridge National Laboratory
HOOMD-blue: A High Performance Scalable Particle Simulation Python Library [More Info]
Speaker: Brandon Butler, Department of Chemical Engineering, University of Michigan
Speaker: Joshua Anderson, Department of Chemical Engineering, University of Michigan
Speaker: Vyas Ramasubramani , Department of Chemical Engineering, University of Michigan
Speaker: Sharon Glotzer, Department of Chemical Engineering, University of Michigan
PyRS: Data Processing Software for Engineering Neutron Diffraction [More Info]
Speaker: Wenduo Zhou, Oak Ridge National Laboratory
Speaker: Jay Jay Billings, Oak Ridge National Laboratory
Speaker: Peter Peterson, Oak Ridge National Laboratory
Speaker: Steven Hahn, Oak Ridge National Laboratory
Speaker: Jean-Christophe Bilheux, Oak Ridge National Laboratory
Speaker: Ross Whitfield, Oak Ridge National Laboratory
Speaker: Caleb Cooper, Oak Ridge National Laboratory
Speaker: Christopher Fancher, Oak Ridge National Laboratory
Speaker: Mathieu Doucet, Oak Ridge National Laboratory
Speaker: Fahima Islam, Oak Ridge National Laboratory
Speaker: Jeffrey Bunn, Oak Ridge National Laboratory
Python‑Based Materials Knowledge System (PyMKS) [More Info]
Speaker: Berkay Yucel, Georgia Institute of Technology
Speaker: Apaar Shanker, Georgia Institute of Technology
Speaker: Daniel Wheeler, NIST
Speaker: Surya R. Kalidindi, Georgia Institute of Technology
The 1000x Lab: Accelerating Materials R&D within the Open-Source Hardware and Software Ecosystems [More Info]
Speaker: Mike Heiber, Enthought, Inc.
Speaker: Amir Khalighi, Enthought, Inc.
Speaker: Colin McNeece, Enthought, Inc.
Speaker: Roger Bonnecaze, University of Texas at Austin
Speaker: Eric Jones, Enthought, Inc.
 
Posters
Balance of Plant Network Simulation for a Boiling Water Nuclear Reactor [More Info]
Author: Austin Rotker, University of Massachusetts Lowell
Author: Valmor F. de Alemeida, University of Massachusetts Lowell
Applied Data Science for Offer Response in Deceased Kidney Organ Transplantation [More Info]
Author: Morgan Stuart, United Network for Organ Sharing (UNOS)
Author: Andrew Placona, United Network for Organ Sharing (UNOS)
Basin DNA: Gaining Subsurface Insight using Unsupervised Learning on Heterogenous Data [More Info]
Author: Antoine Vialaussavy, Shell
Author: Daniel Conlin, Shell
Author: Joel Graves, Shell
Author: Pooja Rani, Shell
Author: Jeremy Vila, Shell
Blusky - A Wavelet Scattering Transform Library [More Info]
Speaker: Ben Lasscock, Enthought, Inc.
Speaker: Brendon Hall, Enthought, Inc.
Speaker: Mike Glinsky, Sandia National Labs
Bringing New Life to an Agent-based Fish Model using the Scientific Python Stack [More Info]
Author: Zachary Sherman, Argonne National Laboratory
Author: Robert Jackson, Argonne National Laboratory
Author: Jason Hemedinger, Argonne National Laboratory
Author: Andy Huttenga, Argonne National Laboratory
Author: Paul Tarpey, Argonne National Laboratory
Author: John Hayse, Argonne National Laboratory
Building Machine Learning Pipelines with Kubeflow [More Info]
Author: William Horton, Compass
CiteAs.org: Bridging the Gap in Software Citation [More Info]
Author: C. Fan Du, University of Texas at Austin
Author: James Howison, University of Texas at Austin
Author: Heather Piwowar, Our Research
Author: Jason Priem, Our Research
Author: Patrice Lopez, science-miner
Combining Physics-based and Data-driven Modeling for Well Construction [More Info]
Author: Oney Erge, University of Texas at Austin
Author: Eric van Oort, University of Texas at Austin
Computation Techniques for Encrypted Data [More Info]
Author: Gajendra Deshpande, KLS Gogte Institute of Technology
Compyle: Python once, HPC anywhere! [More Info]
Author: Prabhu Ramachandran, Enthought and IIT Bombay
Author: Aditya Bhosale, IIT Bombay
Customizing JupyterLab Using Extensions [More Info]
Author: Alex Bozarth, IBM
Author: Martha Cryan, IBM
Daskify an MPI Application for Distribution Using Dask : Learnings during Implementation [More Info]
Author: Sangeeth Keeriyadath, IBM
Author: Pradipta Ghosh, IBM
Decentralized, Deterministic Robot Swarm Control using Blob Methods for PDEs [More Info]
Author: Matt Haberland, Cal Poly
Author: Karthik Elamvazhuthi, UCLA
Author: Olga Turanova, Michigan State University
Author: Katy Craig, UCSB
Distributed Parallel Computing for Pressurized-Flow Dynamic Simulations [More Info]
Author: Gerardo Riano-Briceno, University of Texas at Austin
Author: Lina Sela, University of Texas at Austin
Author: Ben Hodges, University of Texas at Austin
Go Explore! Brining Python to Shell’s Geoscience Community [More Info]
Author: Yuanzhong Fan, Shell Exploration
Author: Nathan Suurmeyer , Shell Exploration
Having your Cake and Eating it: Exploiting Python for Programmer Productivity and Performance on Micro-core Architectures Using ePython [More Info]
Author: Maurice Jamieson, The University of Edinburgh
Author: Nick Brown, The University of Edinburgh
High-performance Operator Evaluations with Ease of Use: libCEED's Python Interface [More Info]
Author: Valeria Barra, University of Colorado Boulder
Author: Jed Brown, University of Colorado Boulder
Author: Jeremy Thompson, University of Colorado Boulder
Author: Yohann Dudouit, Lawrence Livermore National Laboratory
Hyperparameters--Auto-tuning to Make Performance Sing with Optuna [More Info]
Author: Crissman Loomis, Preferred Networks
Introduction to FEM Analysis with Python [More Info]
Author: Tetsuo Koyama, ARK Information Systems, INC
libEnsemble: a Python Library for Dynamic Ensemble-Based Computations [More Info]
Author: David Bindel, Cornell University
Author: Stephen Hudson, Argonne National Laboratory
Author: Jeffrey Larson, Argonne National Laboratory
Author: John-Luke Navarro, Argonne National Laboratory
Author: Stefan Wild, Argonne National Laboratory
Matched Filter Mismatch Losses in MPSK and MQAM Using Semi-Analytic BEP Modeling [More Info]
Author: Mark Wickert, University of Colorado
Author: David Peckham, University of Colorado
MetPy's Meteorological Data Parsing Abilities: From Surface to Upper Air [More Info]
Author: Maxwell Grover, University of Illinois at Urbana-Champaign
Author: Ryan May, Unidata
MoSDeF: Molecular Simulation Design Framework, Open-source Software toward Reproducible Computational Simulation [More Info]
Author: Co Quach, Vanderbilt University
Author: Matt Thompson, Vanderbilt University
Author: Justin Gilmer, Vanderbilt University
Author: Alexander Yang, Vanderbilt University
Author: Ray Matsumoto, Vanderbilt University
Author: Parashara Shamaprasad, Vanderbilt University
Speaker: Andrew Summers, Vanderbilt University
Author: Christopher Iacovella, Vanderbilt University
Author: Clare McCabe, Vanderbilt University
Author: Peter Cummings, Vanderbilt University
Napari: Multi-dimensional Image Visualization in Python [More Info]
Author: Kira Evans, Chan Zuckerberg Initiative
Author: Talley Lambert, Harvard Medical School
Author: Kevin Yamauchi, Biozentrum, University of Basel
Author: Ahmet Can Solak, Chan Zuckerberg Biohub
Author: Shannon Axelrod, Chan Zuckerberg Initiative
Author: Loïc Royer, Chan Zuckerberg Biohub
Author: Juan Nunez-Iglesias, Monash University
Author: Nicholas Sofroniew , Chan Zuckerberg Initiative
Netlist Analysis and Transformation Using SpyDrNet [More Info]
Author: Dallin Skouson, Brigham Young University
Author: Andrew Keller, Brigham Young University
Author: Michael Wirthlin, Brigham Young University
Nonlinear Reduced Order Models for Structural Dynamics with Variational Autoencoders [More Info]
Author: David Najera, ATA Engineering
Author: Christopher Van Damme, ATA Engineering
OOF: Open-source Finite Element Analysis for Materials [More Info]
Author: Andrew Reid, NIST
Author: Shahriyar Keshavarz, Theiss Research
Parallel programming with PyCOMPSs [More Info]
Author: Rosa M. Badia, Barcelona Supercomputing Center
Author: Javier Álvarez Cid-Fuentes, Barcelona Supercomputing Center
Author: Javier Conejero, Barcelona Supercomputing Center
Parsita: The Easiest Way to Parse Text in Python [More Info]
Author: David Hagen, Applied BioMath
Performance Evaluation of Calorimeter Clustering Algorithms [More Info]
Author: Alexandra Ballow, Youngstown State University
Author: Alina Lazar, Youngstown State University
Prototype to Production: Python Tools for Rapid Web Interface Development [More Info]
Author: Scott Christensen, U.S. Army Engineer Research and Development Center
Author: Marvin Brown, US Army Engineer Research and Development Center
Pyaesar: A Multi-Node Multi-Processor API [More Info]
Author: Jamil Gafur, Los Alamos National Lab
Author: David Howard Neill-Asanza, Los Alamos National Lab
Author: Carrie Manore, Los Alamos National Lab
Author: Geoffrey Fairchild, Los Alamos National Lab
Pydra - A Flexible and Lightweight Dataflow Engine for Scientific Analyses [More Info]
Author: Dorota Jarecka, Massachusetts Institute of Technology
Author: Mathias Goncalves, Stanford University
Author: Christopher Markiewicz, Stanford University
Author: Oscar Esteban, Stanford University
Author: Jakub Kaczmarzyk, Stony Brook University
Author: Satrajit Ghosh, Massachusetts Institute of Technology
Pymer4: Bringing R’s Powerful Mixed-modeling to Python [More Info]
Author: Eshin Jolly, Dartmouth College
pynucastro: A Python Library for Exploring Nuclear Reaction Rates [More Info]
Author: Michael Zingale, Stony Brook University
Author: Donald Willcox, Lawrence Berkeley National Laboratory
Author: Lyra Cao, The Ohio State University
Author: Kiran Eiden, Stony Brook University
Author: Xinlong Li, Stony Brook University
Python at the Speed of light : Introducing EinsteinPy, a Tool for General Relativity [More Info]
Author: Shreyas Bapat, Indian Institute of Technology Mandi, The EinsteinPy Project
Python for Ground Motion Processing: Streamlining I/O for Accelerogram Data Files [More Info]
Author: Heather Schovanec, USGS
Author: Mike Hearne, USGS
Author: John Rekoske, USGS
PyTorch-Based Neural Network Approximation of ODE Solutions [More Info]
Author: Yue Wu, University of Georgia
Author: Arthur Edison, University of Georgia
Author: Jonathan Arnold, University of Georgia
Author: Shannon Quinn, University of Georgia
Author: Heinz-Bernd Schuttler, University of Georgia
Author: Michael Judge, University of Georgia
Quasi-orthonormal Encoding for Machine Learning Applications [More Info]
Author: Haw-Minn Lu, West Health Institute
Real-Time Software Defined Radio Using Python [More Info]
Author: Andrew Smit, University of Colorado
Author: Mark Wickert, University of Colorado
Reproducibility in Research Data Science [More Info]
Author: Ana Trisovic, IQSS, Harvard University
Author: Merce Crosas, IQSS, Harvard University
Rethinking Earth Observation using Deep Learning [More Info]
Author: Sayantan Das, Institute of Engineering and Management Kolkata
Role of Linestring Modification in Prevention of Road Network Subgraphs [More Info]
Author: Mehmet Kunt, Eastern Mediterranean University
Author: Jennifer Zuehlke, The University of Texas at Austin
Author: Randy Machemehl, The University of Texas at Austin
Sea Level Rise and Terminal Impairment in Coastal Housing Markets [More Info]
Author: Jacob Dice, Federal Reserve Bank of Kansas City
Author: David Rodziewicz, Federal Reserve Bank of Kansas City
Author: Chris Amante, National Oceanic and Atmospheric Administration
Author: Eugene Wahl, National Oceanic and Atmospheric Administration
Securing Your Collaborative Jupyter Notebooks in the Cloud using Container and Load Balancing Services [More Info]
Author: Haw-Minn Lu, West Health Institute
Author: Adrian Kwong, West Health Institute
Selecting and Productionizing a Nearest Neighbor Datastore [More Info]
Author: Aaron Wieczorek, Rebellion Defense
Author: Rafael Turner, Rebellion Defense
Author: Jackie Kazil, Rebellion Defense
Shadow: An Algorithm Reference and Testing Framework for Scheduling Data-intensive 68 Workflows [More Info]
Author: Ryan Bunney, International Centre for Radio Astronomy Research
Spatiotemporal Modeling of Subcellular Morphologies as Social Network Graphs [More Info]
Author: Marcus Hill, Department of Computer Science, University of Georgia
Author: Mojtaba Fazli, Department of Computer Science, University of Georgia
Author: Rachel Mattson, Institute of Artificial Intelligence, University of Georgia
Author: Andrew Durden, Department of Computer Science, University of Georgia
Author: Frederick Quinn, Department of Infectious Diseases, University of Georgia
Author: Chakra Chennubhotla, Department of Computational and System Biology, University of Pittsburgh
Author: Shannon Quinn, University of Georgia
Streamflow Prediction Using Network-aware Deep Learning in the Cloud [More Info]
Author: Jeffrey Sadler, US Geological Survey
Author: Xiaowei Jia, University of Minnesota
Author: Alison Appling, US Geological Survey
Author: Samantha Oliver, US Geological Survey
Author: Jordan Read, US Geological Survey
Author: Vipin Kumar, University of Minnesota
Author: Grey Nearing, University of Alabama
Author: Frederik Kratzert, Johannes Kepler University
Author: Joseph Hamman, National Center for Atmospheric Research
Author: Richard Signell, United State Geological Survey
STUMPY: A Powerful and Scalable Python Library for Modern Time Series Analysis [More Info]
Author: Sean Law, TD Ameritrade
Test your Code with the Scientific Method! [More Info]
Author: Zac Hatfield-Dodds, Australian National University
The Keck Data Reduction Pipeline Framework [More Info]
Author: Josh Walawender, W. M. Keck Observatory
Author: Luca Rizzi, W. M. Keck Observatory
Author: Shui Kwok, W. M. Keck Observatory
Author: Matthew Brown, W. M. Keck Observatory
Author: Taylor Hutchison, Texas A&M University
Time Series Classification for Human Activity Recognition [More Info]
Author: Gábor Stikkel, HID Global
Author: Mabel Gonzalez Castellanos, HID Global
Unsupervised Representation of Cilia Video Using A Modular Generative Pipeline [More Info]
Author: Meekail Zain, University of Georgia Department of Computer Science
Author: Quinn Wyner, University of Georgia Department of Mathematics
Author: Nathan Safir, University of Georgia Department of Computer Science
Author: Alex Eldridge, University of Georgia Department of Mathematics
Author: Bella Humphrey, University of Georgia Department of Computer Science
Author: Sonia Rao, University of Georgia Department of Computer Science
Author: Shannon Quinn, University of Georgia
Using Domain Storytelling to Develop a Context Aware Framework to Support Interdisciplinary Scientific Inquiry in yt [More Info]
Author: Samantha Walkow, University of Illinois at Urbana-Champaign
Author: Matthew Turk, University of Illinois at Urbana-Champaign
Using Machine Learning to Predict Novel Gene Regulatory Interactions During Candida Albicans Biofilm Development [More Info]
Author: Akshay Paropkari, University of California, Merced
Author: Clarissa Nobile, University of California, Merced
Author: Suzanne Sindi, University of California, Merced
Visualizing Hidden Layers of a Deep Convolutional Neural Network in Atmospheric Science Applications [More Info]
Author: Maria Molina, National Center for Atmospheric Research
Author: David John Gagne, National Center for Atmospheric Research
Author: Andreas Prein, National Center for Atmospheric Research
Yet Another Acquisition: The Yaq Daemon Interface for Heterogeneous Instrumentation [More Info]
Speaker: Kyle Sunden, University of Wisconsin-Madison
Speaker: Blaise Thompson, University of Wisconsin-Madison
Speaker: John Wright, University of Wisconsin-Madison
zfit: Scalable Pythonic Fitting [More Info]
Author: Jonas Eschle, University of Zurich
Author: Albert Puig Navarro, (Formerly at) University of Zurich
Author: Rafael Silva Coutinho, University of Zurich
Author: Nicola Serra, University of Zurich
Author: Matthieu Marinangeli, EPFL, Lausanne
Packaging Data and Machine Learning Models for Sharing [More Info]
Elle O'Brien, Iterative, Inc.
Two Hand Indian Sign Language to Regional Language Convertor [More Info]
Author: Lakshay Jain, The LNM Institute of Information Technology