1 code implementation • 29 Mar 2023 • Qingyang Wang, Michael A. Powell, Ali Geisa, Eric W. Bridgeford, Joshua T. Vogelstein
Natural intelligences (NIs) thrive in a dynamic world - they learn quickly, sometimes with only a few samples.
4 code implementations • 3 Jul 2019 • Sambit Panda, Satish Palaniappan, Junhao Xiong, Eric W. Bridgeford, Ronak Mehta, Cencheng Shen, Joshua T. Vogelstein
We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing.
2 code implementations • 29 Mar 2019 • Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein
We introduce GraSPy, a Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph populations.
no code implementations • 9 Mar 2018 • Gregory Kiar, Robert J. Anderson, Alex Baden, Alexandra Badea, Eric W. Bridgeford, Andrew Champion, Vikram Chandrashekhar, Forrest Collman, Brandon Duderstadt, Alan C. Evans, Florian Engert, Benjamin Falk, Tristan Glatard, William R. Gray Roncal, David N. Kennedy, Jeremy Maitin-Shepard, Ryan A. Marren, Onyeka Nnaemeka, Eric Perlman, Sharmishtaas Seshamani, Eric T. Trautman, Daniel J. Tward, Pedro Antonio Valdés-Sosa, Qing Wang, Michael I. Miller, Randal Burns, Joshua T. Vogelstein
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales.
1 code implementation • 8 May 2015 • Sarah Feldt Muldoon, Eric W. Bridgeford, Danielle S. Bassett
Quantitative descriptions of network structure in big data can provide fundamental insights into the function of interconnected complex systems.