64 skills found · Page 1 of 3
PaddlePaddle / PaddlePArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
SciML / SciMLBookParallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
SciML / ModelingToolkit.jlAn acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
ogrisel / Parallel Ml TutorialTutorial on scikit-learn and IPython for parallel machine learning
functime-org / FunctimeTime-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
google / PaxmlPax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
SciML / Catalyst.jlChemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
NVIDIA / MakaniMassively parallel training of machine-learning based weather and climate models
deephyper / DeephyperDeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
cdslaborg / ParamonteParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
jmcarpenter2 / ParfitA package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
paypal / Autosklearn Zeroconfautosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.
peng-cao / MripyA python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions
greenplum-db / Gpdb ArchiveGreenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.
SciML / AutoOptimize.jlAutomatic optimization and parallelization for Scientific Machine Learning (SciML)
lorenzoh / DataLoaders.jlA parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.
heathermiller / MenthorParallelizing Machine Learning-- Functionally.
hypergol / HypergolHypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, standardised structure for data and ML and parallel processing out-of-the-box.
ContinuumIO / ElmPhase I & part of Phase II of NASA SBIR - Parallel Machine Learning on Satellite Data
TrainingByPackt / Big Data Analysis With PythonCombine Spark and Python to process large datasets and unlock the power of parallel computing and machine learning
