Meghana 's repositories

blockset

BLOCKSET: Efficient out of core tree ensemble inference

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archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

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awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

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experiments_fast_bic

Experiments to test Fast BIC version with MclustBIC and two means split

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flamestore

Storage system for Deep Learning models designed using the Mochi components.

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mochi-tests

Test cases for the Mochi project.

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NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

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nilearn

Machine learning for NeuroImaging in Python

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packedForest

A memory efficient and fast random forest which produces trees with fast prediction speeds.

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pcds.2023

Living document that might/will become an e-book for Parallel Computing for Data Science

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platform-configurations

This repository provides a set of configuration files and example scripts for running Mochi experiments on various platforms.

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pycuda

CUDA integration for Python, plus shiny features

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PyHEADTAIL

CERN PyHEADTAIL numerical n-body simulation code for simulating macro-particle beam dynamics with collective effects

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python-blockset

Python package for Blockset

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RerF

This is the implementation of Randomer Forest

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sympy

A computer algebra system written in pure Python

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talks

NeuroData Talks

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two-means-trees

Build unsupervised decision trees using 2-means as the splitting method.

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U-Rerf

The unsupervised version of Rerf.

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ublas

Development version of Boost uBLAS

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