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Found 6 papers, 5 papers with code
Learning sources of variability from high-dimensional observational studies
Causal inference studies whether the presence of a variable influences an observed outcome.
Polarity is all you need to learn and transfer faster
Natural intelligences (NIs) thrive in a dynamic world - they learn quickly, sometimes with only a few samples.
hyppo: A Multivariate Hypothesis Testing Python Package
We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing.
GraSPy: Graph Statistics in Python
We introduce GraSPy, a Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph populations.
NeuroStorm: Accelerating Brain Science Discovery in the Cloud
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales.
Small-World Propensity in Weighted, Real-World Networks
Quantitative descriptions of network structure in big data can provide fundamental insights into the function of interconnected complex systems.
