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Management

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

https://github.com/microservo/microservo

공식 코드

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management

https://github.com/microsoft/autothrottle

공식 코드

Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices

https://github.com/microsoft/ms-latte

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MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed

https://github.com/microsoft/nemoeval

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Enhancing Network Management Using Code Generated by Large Language Models

https://github.com/microsoft/subseasonal_toolkit

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Adaptive Bias Correction for Improved Subseasonal Forecasting

https://github.com/microsoft/vattention

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vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention

https://github.com/mifauss/RSSAVSA-Infinite-Horizon

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CVaR-based Safety Analysis in the Infinite Time Horizon Setting

https://github.com/miguel-kjh/Improving-Dialogue-Management

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Improving Dialogue Management: Quality Datasets vs Models

https://github.com/migvega/bimcap

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BIMCaP: BIM-based AI-supported LiDAR-Camera Pose Refinement

https://github.com/mikata-project/adcraft

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AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization

https://github.com/mikegu721/xiezhibenchmark

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Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

https://github.com/mikhail247/iamax

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Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies

https://github.com/milandesai/yolov3

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Spatiotemporal Action Recognition in Restaurant Videos

https://github.com/mingxilii/localegn

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Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases

https://github.com/mitrefireline/simfire

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Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments

https://github.com/mkuzma96/customprod

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Addressing distributional shifts in operations management: The case of order fulfillment in customized production

https://github.com/mkyl/chorus

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CHORUS: Foundation Models for Unified Data Discovery and Exploration

https://github.com/ml4its/latent-diffusion-model-for-conditional-reservoir-facies-generation

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Latent Diffusion Model for Conditional Reservoir Facies Generation

https://github.com/mlatcl/fbp-vs-soa

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Towards better data discovery and collection with flow-based programming

https://github.com/mlcommons/croissant

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Croissant: A Metadata Format for ML-Ready Datasets

https://github.com/mlmed/covid-severity

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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

https://github.com/mlmed/torchxrayvision

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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

https://github.com/mlneurosurg/deepglioma

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Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

https://github.com/mmalekzadeh/dana

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DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data

https://github.com/moeinkh88/covid_shedding

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Epidemic Transmission Modeling with Fractional Derivatives and Environmental Pathogens

https://github.com/moienr/soilnet

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SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction

https://github.com/moji1369/DNN-based-fast-solver-of-SWEs

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Application of deep learning to large scale riverine flow velocity estimation

https://github.com/moji1369/vegas

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Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry

https://github.com/moratodpg/imp_marl

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IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL

https://github.com/morispi/LRez

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LRez: C++ API and toolkit for analyzing and managing Linked-Reads data

https://github.com/mrazvan22/dive

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DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders

https://github.com/mrbhimani/employee_survey_analysis

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Decoding the Workplace & EOR: An Employee Survey Analysis by Data Science Techniques and Visualization

https://github.com/mrkulk/hierarchical-deep-RL

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Deep Reinforcement Learning

https://github.com/mrluin/ESFNet-Pytorch

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ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images

https://github.com/mskcc-computational-pathology/dmmn-osteosarcoma

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Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction

https://github.com/mtezzele/digital-twin-shm

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A digital twin framework for civil engineering structures

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