226 skills found · Page 1 of 8
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）
AI4Finance-Foundation / ElegantRLMassively Parallel Deep Reinforcement Learning. 🔥
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
python-adaptive / Adaptive:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
functime-org / FunctimeTime-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
benedekrozemberczki / Graph2vecA parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
AdepojuJeremy / CUDA 120 DAYS CHALLENGEA 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Processors”). Features six capstone projects to solidify GPU parallel programming, memory management, and performance optimization skills.
litian96 / FedProxFederated Optimization in Heterogeneous Networks (MLSys '20)
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.
sjtu-marl / MalibA parallel framework for population-based multi-agent reinforcement learning.
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.
modern-fortran / Neural FortranA parallel framework for deep learning
NVIDIA / MakaniMassively parallel training of machine-learning based weather and climate models
NVlabs / DiffRL[ICLR 2022] Accelerated Policy Learning with Parallel Differentiable Simulation
stepfun-ai / PaCoRePaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
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.
PKUFlyingPig / CS149 Parallel ComputingLearning materials for Stanford CS149 : Parallel Computing
