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archai

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

awesome-decision-tree-papers

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

blockset

BLOCKSET: Efficient out of core tree ensemble inference

boost-string

cern2018

dejavu

experiments_fast_bic

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

experiments_urerf

flamestore

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

kellymarchisio.github.io

megh1241.github.io

mochi-tests

Test cases for the Mochi project.

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.

nilearn

Machine learning for NeuroImaging in Python

packedforest

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

pcds.2023

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

pdsw_artifacts

platform-configurations

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

pycuda

CUDA integration for Python, plus shiny features

pyheadtail

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

pyml

Machine Learning algorithms in Python

python-blockset

Python package for Blockset

rep1

rerf

This is the implementation of Randomer Forest

sixtracklib

sixtracklib_gsoc18

sympy

A computer algebra system written in pure Python

talks

NeuroData Talks

thallium-rpc-pool-benchmarks

trex