PyVideo.org · SciPy 2020 (original) (raw)
1000x Lab: Accelerating Materials R&D within Open Source Hardware and Software
A New Partitioning Algorithm for Optimizing Parallelization of Flow Networks
AiiDA 1.0: A scalable simulation platform to manage high-throughput high-performance simulations with automatic provenance tracking
Applying Probabilistic Inference to Astronomical Spectroscopy
Avocado: Characterizing Human Epigenomics Through Imputation
Continual Updating of Evolutionary Estimates in the Open Tree of Life
Detecting Plastics in Coastal Waters with Satellite Data and Machine Learning
Frictionless Data for Reproducible Biology
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
High Dimensional Data Visualization with Clustergrammer2
HOOMD-blue: A High Performance Scalable Particle Simulation Python Library
Interactive Image Processing for the Life Sciences
Machine Learning with Impact: Classifying Core Images from the Chicxulub Crater
Making Sense of Clinical Data
Measuring OpenStreetMap Completeness using Human Settlement Layers
Molecular Infrastructure for Modeling Full Viruses with Pythonic-Mediated Packages
Oceanography, Data Ontology, and the Semantic Web
Project Mjolnir
pyoscode Fast Solutions of Oscillatory ODEs in Physics
PyRS: Data Processing Software for Engineering Neutron Diffraction
Python‑Based Materials Knowledge System (PyMKS)
Remote DataFrames and Interactive Exploration of Big Astronomical Datasets with Vaex
Solving Spectroscopic Problems with Pythonic Workflows and Deep Learning
Spatial Algorithms at Scale with spatialpandas
SunPy Status of the Project and v1 0 Core Package
Treating Gridded Geospatial Data as Point Data to Simplify Analytics
Why Design Abstraction Matters for Analytics Tools: Neuroimaging analysis with Neuro-Learn Tools
Align Incentives Across Cases for Domain Specific Scientific Software
Analyzing the Performance of Python Applications Using Multiple Levels of Parallelism
Arkouda: Terascale Data Science at Interactive Rates
Awkward Array: Manipulating JSON like Data with NumPy like Idioms
Boost-histogram: High-Performance Histograms as Objects
Bringing GPU support to Datashader: A RAPIDS case study
Continuous Integration for Scientific Python Projects
cuSignal - GPU Accelerating SciPy Signal with Numba and CuPy
dabl: Automatic Machine Learning with a Human in the Loop
F2PY: Bringing Fast Code into the Future
Fluctuation X ray Scattering Real-Time App
Forecasting Solar Flares
Geospatial Analysis in the Cloud Using PODPAC and JupyterLab
GPU-Accelerated Data Analytics in Python
GPU Packaging for the Community
Interactive Supercomputing with Jupyter at NERSC
JAX: Accelerated Machine Learning Research
Jupyter Notebooks for Spacecraft and Robot Dynamics Simulations
Leading Magnetic Fusion Energy Science into the Big and Fast Data Lane
Learning from Evolving Data Streams
Legate Numpy: Accelerated and Distributed Array Computing
Machine Learning Model Serving: The Next Step
Optimizing Humans and Machines to Advance Science
Pandera: Statistical Data Validation of Pandas Dataframes
pyhf: A Pure Python Statistical Fitting Library with Tensors and Autograd
Ray: A System for Scalable Python and ML
