Papers with Code 아카이브

Distributed Computing

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/cunialino/PACS-Project

Parallelizing Over Artificial Neural Network Training Runs with Multigrid

https://github.com/epfml/cola

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

https://github.com/fedmlai/fedml

FedML: A Research Library and Benchmark for Federated Machine Learning

https://github.com/gingsmith/cocoa

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

https://github.com/himkt/optuna-test-rtds

Optuna: A Next-generation Hyperparameter Optimization Framework

https://github.com/iammrhelo/pytorch-vqa-dan

Dual Attention Networks for Multimodal Reasoning and Matching

https://github.com/ionutfarcas/distributed_operator_inference

Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine

https://github.com/kose-y/dist-primal-dual

Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal acceleration

https://github.com/kuronosec/arhuaco

A Security Monitoring Framework For Virtualization Based HEP Infrastructures

https://github.com/lucylow/Covid_Control

Evolutionary Neural AutoML for Deep Learning

https://github.com/lukashedegaard/ride

A System for Massively Parallel Hyperparameter Tuning

https://github.com/marius311/pypico

Computing High Accuracy Power Spectra with Pico

https://github.com/melifluos/LSH-community-detection

Real-Time Community Detection in Large Social Networks on a Laptop

https://github.com/modelscope/data-juicer

Data-Juicer: A One-Stop Data Processing System for Large Language Models

https://github.com/optuna/kurobako

A System for Massively Parallel Hyperparameter Tuning

https://github.com/optuna/optuna

Optuna: A Next-generation Hyperparameter Optimization Framework

https://github.com/optuna/optuna-integration

Optuna: A Next-generation Hyperparameter Optimization Framework

https://github.com/orienfish/fedml

FedML: A Research Library and Benchmark for Federated Machine Learning

https://github.com/rickyHong/optuna-repl

Optuna: A Next-generation Hyperparameter Optimization Framework

https://github.com/selimfirat/oac-based-private-ensembles

Private Collaborative Edge Inference via Over-the-Air Computation

https://github.com/sugaruncle/FedML_Local

FedML: A Research Library and Benchmark for Federated Machine Learning

https://github.com/uber/fiber

Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods

https://github.com/yqian4/optuna

Optuna: A Next-generation Hyperparameter Optimization Framework

https://github.com/yukizhao1998/FineFL

FedML: A Research Library and Benchmark for Federated Machine Learning

https://gitlab.com/bpaassen/graph-edit-networks

Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.