neurodata

neurodata

Organization data from Github https://github.com/neurodata

Location:everywhere

Home Page:https://neurodata.io

GitHub:@neurodata

neurodata's repositories

hyppo

Python package for multivariate hypothesis testing

Language:PythonLicense:MIT-0Stargazers:238Issues:4Issues:162

SPORF

This is the implementation of Sparse Projection Oblique Randomer Forest

treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:85Issues:3Issues:114

m2g

NeuroData's MRI to Graphs (m2g) - connectome estimation package and pipeline

Language:PythonLicense:NOASSERTIONStargazers:63Issues:10Issues:206

ProgLearn

NeuroData's package for exploring and using progressive learning algorithms

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:38Issues:7Issues:269

brainlit

Method container for computational neuroscience on brains.

Language:PythonLicense:NOASSERTIONStargazers:29Issues:5Issues:161

df-dn-paper

Conceptual & empirical comparisons between decision forests & deep networks

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:18Issues:3Issues:26

neurodata.io

Homepage for NeuroData

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value-of-ood-data

The value of out-of-distribution data (ICML 2023)

Language:PythonStargazers:10Issues:4Issues:0

prolearn

Prospective Learning: Learning for a Dynamic Future (NeurIPS 2024)

SDTF

Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:9Issues:3Issues:26

scikit-learn

scikit-learn-tree fork: A fork that enables extensions of Python and Cython API for decision trees

Language:PythonLicense:BSD-3-ClauseStargazers:7Issues:1Issues:12
Language:Jupyter NotebookLicense:NOASSERTIONStargazers:6Issues:5Issues:0

kdg

Exploring and using kernel density algorithms

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:5Issues:3Issues:14

graphbook-code

Simple package storing functions useful in writing the graphstats book.

Language:Jupyter NotebookLicense:MITStargazers:4Issues:1Issues:2

talks

NeuroData Talks

yggdrasil-decision-forests

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Language:C++License:Apache-2.0Stargazers:3Issues:0Issues:0

autogmm

Python package for automatic Gaussian mixture modeling

Language:PythonLicense:BSD-3-ClauseStargazers:1Issues:0Issues:0
Language:Jupyter NotebookLicense:NOASSERTIONStargazers:1Issues:2Issues:0

ksample

Figure replication code for "High-dimensional and universally consistent k-sample tests"

License:NOASSERTIONStargazers:1Issues:3Issues:0

mgcx

Code for paper "Independence Testing for Multivariate Time Series." https://openreview.net/forum?id=jv1aPQINc4

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:1Issues:3Issues:0

ood-tl

Exploring how out-of-distribution (target) tasks improve (or degrade) the performance of a learning algorithm on an in-distribution (source) task.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:1Issues:4Issues:0

prolearn2

Prospective Learning in Retrospect (AGI 2025)

Language:PythonStargazers:1Issues:0Issues:0

sex_classification

A repository to explore interpretability of sex classification using structural MRI data.

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Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:5Issues:0
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pro-learn

Prospective learning code, documentation, and tutorials

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