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Array Programming with NumPy

Array Programming with NumPy

18 June 2020
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
D. Cournapeau
Eric Wieser
Julian Taylor
Sebastian Berg
Nathaniel J. Smith
Robert Kern
Matti Picus
Stephan Hoyer
M. Kerkwijk
M. Brett
A. Haldane
Jaime Fernández del Río
Marcy Wiebe
Pearu Peterson
Pierre Gérard-Marchant
Kevin Sheppard
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
ArXiv (abs)PDFHTML

Papers citing "Array Programming with NumPy"

50 / 1,341 papers shown
Title
gnss_lib_py: Analyzing GNSS Data with Python
gnss_lib_py: Analyzing GNSS Data with Python
Derek Knowles
Ashwin V. Kanhere
Daniel Neamati
Grace Gao
GP
48
2
0
12 Apr 2024
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification
  in scientific machine learning
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning
Zongren Zou
Tingwei Meng
Paula Chen
Jérome Darbon
George Karniadakis
83
8
0
12 Apr 2024
Generating Synthetic Time Series Data for Cyber-Physical Systems
Generating Synthetic Time Series Data for Cyber-Physical Systems
Alexander Sommers
Somayeh Bakhtiari Ramezani
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
AI4TS
89
0
0
12 Apr 2024
Diffusion posterior sampling for simulation-based inference in tall data
  settings
Diffusion posterior sampling for simulation-based inference in tall data settings
J. Linhart
Gabriel Victorino Cardoso
Alexandre Gramfort
Sylvain Le Corff
Pedro L. C. Rodrigues
DiffM
71
6
0
11 Apr 2024
Raster Forge: Interactive Raster Manipulation Library and GUI for Python
Raster Forge: Interactive Raster Manipulation Library and GUI for Python
Afonso Oliveira
Nuno Fachada
J. Matos-Carvalho
AI4CE
21
1
0
09 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and
  Imbalanced Datasets
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
143
4
0
08 Apr 2024
BARMPy: Bayesian Additive Regression Models Python Package
BARMPy: Bayesian Additive Regression Models Python Package
Danielle Van Boxel
BDLKELMGP
44
0
0
06 Apr 2024
ALAAMEE: Open-source software for fitting autologistic actor attribute
  models
ALAAMEE: Open-source software for fitting autologistic actor attribute models
A. Stivala
Peng Wang
Alessandro Lomi
45
2
0
03 Apr 2024
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural
  Epistemic Operator Networks
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks
Leonardo Ferreira Guilhoto
P. Perdikaris
BDL
88
2
0
03 Apr 2024
The largest EEG-based BCI reproducibility study for open science: the
  MOABB benchmark
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
Sylvain Chevallier
Igor Carrara
Bruno Aristimunha
Pierre Guetschel
Sara Sedlar
Bruna Lopes
Sebastien Velut
Salim Khazem
Thomas Moreau
132
16
0
03 Apr 2024
VASARI-auto: equitable, efficient, and economical featurisation of
  glioma MRI
VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI
James K. Ruffle
Samia Mohinta
K. P. Baruteau
Rebekah Rajiah
Faith M. Y. Lee
Sebastian Brandner
P. Nachev
H. Hyare
57
0
0
03 Apr 2024
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
Lishuang Wang
Mengfei Zhao
Enyu Liu
Kebin Sun
Ran Cheng
95
4
0
02 Apr 2024
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
Weihua Hu
Yiwen Yuan
Zecheng Zhang
Akihiro Nitta
Kaidi Cao
Vid Kocijan
J. Leskovec
Matthias Fey
LMTD
71
16
0
31 Mar 2024
Impact of Employing Weather Forecast Data as Input to the Estimation of
  Evapotranspiration by Deep Neural Network Models
Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models
P. Vaz
Gabriela Schütz
Carlos Guerrero
Pedro J. S. Cardoso
18
0
0
27 Mar 2024
Maximum Discrepancy Generative Regularization and Non-Negative Matrix
  Factorization for Single Channel Source Separation
Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation
Martin Ludvigsen
M. Grasmair
37
0
0
26 Mar 2024
Hearing the shape of an arena with spectral swarm robotics
Hearing the shape of an arena with spectral swarm robotics
L. Cazenille
Nicolas Lobato-Dauzier
Alessia Loi
Mika Ito
Olivier Marchal
N. Aubert-Kato
Nicolas Bredèche
A. Genot
29
1
0
25 Mar 2024
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
Owen Oertell
Jonathan D. Chang
Yiyi Zhang
Kianté Brantley
Wen Sun
EGVM
94
5
0
25 Mar 2024
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic
  Encryption
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
Seewoo Lee
Garam Lee
Jung Woo Kim
Junbum Shin
Mun-Kyu Lee
95
29
0
21 Mar 2024
AMReX and pyAMReX: Looking Beyond ECP
AMReX and pyAMReX: Looking Beyond ECP
Andrew Myers
Weiqun Zhang
A. Almgren
Thierry Antoun
John Bell
A. Huebl
A. Sinn
60
3
0
18 Mar 2024
Light Curve Classification with DistClassiPy: a new distance-based
  classifier
Light Curve Classification with DistClassiPy: a new distance-based classifier
Siddharth Chaini
Ashish Mahabal
Ajit Kembhavi
Federica B. Bianco
132
2
0
18 Mar 2024
Advancing multivariate time series similarity assessment: an integrated
  computational approach
Advancing multivariate time series similarity assessment: an integrated computational approach
F. Tonle
Henri E. Z. Tonnang
Milliam Maxime Zekeng Ndadji
Maurice Tchoupé Tchendji
Armand Nzeukou
K. Senagi
S. Niassy
AI4TS
33
0
0
16 Mar 2024
Monotonic Representation of Numeric Properties in Language Models
Monotonic Representation of Numeric Properties in Language Models
Benjamin Heinzerling
Kentaro Inui
KELMMILM
110
10
0
15 Mar 2024
An intuitive multi-frequency feature representation for
  SO(3)-equivariant networks
An intuitive multi-frequency feature representation for SO(3)-equivariant networks
Dongwon Son
Jaehyung Kim
Sanghyeon Son
Beomjoon Kim
3DPC
78
1
0
15 Mar 2024
LyZNet: A Lightweight Python Tool for Learning and Verifying Neural
  Lyapunov Functions and Regions of Attraction
LyZNet: A Lightweight Python Tool for Learning and Verifying Neural Lyapunov Functions and Regions of Attraction
Jun Liu
Yiming Meng
Maxwell Fitzsimmons
Rui Zhou
102
18
0
15 Mar 2024
Audiosockets: A Python socket package for Real-Time Audio Processing
Audiosockets: A Python socket package for Real-Time Audio Processing
Nicolas Shu
David V. Anderson
GP
25
0
0
14 Mar 2024
PAPERCLIP: Associating Astronomical Observations and Natural Language
  with Multi-Modal Models
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
S. Mishra-Sharma
Yiding Song
Jesse Thaler
95
9
0
13 Mar 2024
Can Large Language Models Identify Authorship?
Can Large Language Models Identify Authorship?
Baixiang Huang
Canyu Chen
Kai Shu
DeLMO
72
18
0
13 Mar 2024
Genetic Learning for Designing Sim-to-Real Data Augmentations
Genetic Learning for Designing Sim-to-Real Data Augmentations
Bram Vanherle
Nick Michiels
F. Reeth
63
0
0
11 Mar 2024
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding
  for Extended-Connectivity Fingerprints
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
Markus Dablander
Thierry Hanser
R. Lambiotte
Garrett M. Morris
39
1
0
10 Mar 2024
$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections
VkD:V_kD:Vk​D: Improving Knowledge Distillation using Orthogonal Projections
Roy Miles
Ismail Elezi
Jiankang Deng
112
10
0
10 Mar 2024
collapse: Advanced and Fast Statistical Computing and Data
  Transformation in R
collapse: Advanced and Fast Statistical Computing and Data Transformation in R
Sebastian Krantz
44
1
0
08 Mar 2024
Stop Regressing: Training Value Functions via Classification for
  Scalable Deep RL
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother
Jordi Orbay
Q. Vuong
Adrien Ali Taïga
Yevgen Chebotar
...
Sergey Levine
Pablo Samuel Castro
Aleksandra Faust
Aviral Kumar
Rishabh Agarwal
OffRL
105
66
0
06 Mar 2024
Portable, heterogeneous ensemble workflows at scale using libEnsemble
Portable, heterogeneous ensemble workflows at scale using libEnsemble
Stephen Hudson
Jeffrey Larson
John-Luke Navarro
Stefan M. Wild
MoE
108
0
0
06 Mar 2024
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Yair Schiff
Chia-Hsiang Kao
Aaron Gokaslan
Tri Dao
Albert Gu
Volodymyr Kuleshov
Mamba
89
97
0
05 Mar 2024
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video
  Diffusion Models via Training-Free Unified Attention Control
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control
Xuweiyi Chen
Tian Xia
Sihan Xu
VGenDiffM
83
8
0
04 Mar 2024
A prediction rigidity formalism for low-cost uncertainties in trained
  neural networks
A prediction rigidity formalism for low-cost uncertainties in trained neural networks
Filippo Bigi
Sanggyu Chong
Michele Ceriotti
Federico Grasselli
70
6
0
04 Mar 2024
Data Science Education in Undergraduate Physics: Lessons Learned from a
  Community of Practice
Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice
Karan Shah
Julie Butler
Alexis Knaub
Anil Zenginoglu
William Ratcliff
Mohammad Soltanieh-ha
PINNAI4CE
54
1
0
01 Mar 2024
Exploring the dynamic interplay of cognitive load and emotional arousal
  by using multimodal measurements: Correlation of pupil diameter and emotional
  arousal in emotionally engaging tasks
Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks
C. Kosel
S. Michel
T. Seidel
M. Foerster
60
1
0
01 Mar 2024
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient
  Sparse Matrix Multiplication
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication
Lukas Gianinazzi
A. Ziogas
Langwen Huang
Piotr Luczynski
Saleh Ashkboosh
...
Chio Ge
Nabil Abubaker
Maciej Besta
Tal Ben-Nun
Torsten Hoefler
72
3
0
29 Feb 2024
Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation
  with Efficient Image Annotation
Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation
Samuel O. Folorunsho
William R. Norris
62
0
0
28 Feb 2024
Transfer Learning Bayesian Optimization to Design Competitor DNA
  Molecules for Use in Diagnostic Assays
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays
Ruby Sedgwick
John P. Goertz
Molly M. Stevens
Ruth Misener
Mark van der Wilk
BDL
59
0
0
27 Feb 2024
Beacon, a lightweight deep reinforcement learning benchmark library for
  flow control
Beacon, a lightweight deep reinforcement learning benchmark library for flow control
J. Viquerat
P. Meliga
Pablo Jeken
E. Hachem
AI4CE
42
1
0
27 Feb 2024
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers
  and RNNs Trained with a New Loss Function
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
Pedro Seber
75
2
0
27 Feb 2024
Cieran: Designing Sequential Colormaps via In-Situ Active Preference
  Learning
Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
Matt-Heun Hong
Zachary Sunberg
D. Szafir
127
1
0
25 Feb 2024
CLoVe: Encoding Compositional Language in Contrastive Vision-Language
  Models
CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models
Santiago Castro
Amir Ziai
Avneesh Saluja
Zhuoning Yuan
Rada Mihalcea
MLLMCoGeVLM
76
6
0
22 Feb 2024
Exploring and Applying Audio-Based Sentiment Analysis in Music
Exploring and Applying Audio-Based Sentiment Analysis in Music
Etash Jhanji
18
0
0
22 Feb 2024
A Class of Topological Pseudodistances for Fast Comparison of
  Persistence Diagrams
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
Rolando Kindelan Nunez
Mircea Petrache
Mauricio Cerda
N. Hitschfeld-Kahler
44
1
0
22 Feb 2024
KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
Boran Apak
Medina Bandic
Aritra Sarkar
Sebastian Feld
84
10
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In value-based deep reinforcement learning, a pruned network is a good
  network
In value-based deep reinforcement learning, a pruned network is a good network
J. Obando-Ceron
Rameswar Panda
Pablo Samuel Castro
OffRL
105
26
0
19 Feb 2024
Short-Period Variables in TESS Full-Frame Image Light Curves Identified
  via Convolutional Neural Networks
Short-Period Variables in TESS Full-Frame Image Light Curves Identified via Convolutional Neural Networks
G. Olmschenk
R. Barry
Stela Ishitani Silva
B. Powell
Ethan Kruse
...
Thomas Barclay
Siddhant Solanki
Bianca Ortega
John G. Baker
Yesenia Helem Salinas Mamani
18
0
0
19 Feb 2024
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