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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tszydlo/FogML
공식 코드Device management and network connectivity as missing elements in TinyML landscape
https://github.com/tteofili/certa
공식 코드https://github.com/tu-delft-ai-energy-lab/marl-idr-multi-agent-reinforcement-learning-for-incentive-based-residential-demand-response
공식 코드MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response
https://github.com/tumcps/commonpower
공식 코드CommonPower: A Framework for Safe Data-Driven Smart Grid Control
https://github.com/tusimple/simpletrack
공식 코드SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
https://github.com/tvhahn/weibull-knowledge-informed-ml
공식 코드Knowledge Informed Machine Learning using a Weibull-based Loss Function
https://github.com/u1overground/cybersummer
공식 코드Explainable Machine Learning for Cyberattack Identification from Traffic Flows
https://github.com/uber/MARVIN
공식 코드https://github.com/uclouvain-cbio/2023_scp_na
공식 코드Revisiting the thorny issue of missing values in single-cell proteomics
https://github.com/uds-lsv/human
공식 코드https://github.com/uihilab/IowaRain
공식 코드https://github.com/ujohn33/citylearn_scenarios
공식 코드Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems
https://github.com/ukplab/arxiv2023-qanno
공식 코드https://github.com/ukplab/qanno
공식 코드https://github.com/ulbmuenster/dataasee
공식 코드DatAasee -- A Metadata-Lake as Metadata Catalog for a Virtual Data-Lake
https://github.com/umut-demirhan/Radar-aided-beam-prediction
공식 코드Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration
https://github.com/unic-lab/qedgix
공식 코드GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
https://github.com/upadhyan/portfolio-changeover-optimization
공식 코드Optimizing Transition Strategies for Small to Medium Sized Portfolios
https://github.com/urbanmobility/pg2net
공식 코드PG$^2$Net: Personalized and Group Preferences Guided Network for Next Place Prediction
https://github.com/usail-hkust/llmtscs
공식 코드LLMLight: Large Language Models as Traffic Signal Control Agents
https://github.com/uverma/ManipalUAVid
공식 코드UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information
https://github.com/uverma/muaad
공식 코드Contextual Information Based Anomaly Detection for a Multi-Scene UAV Aerial Videos
https://github.com/vemomoto/indspecvemo
공식 코드Boosting propagule transport models with individual-specific data from mobile apps
https://github.com/verivital/nnv
공식 코드Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach
https://github.com/vgupta1/JS_SAA
공식 코드https://github.com/victoryxl/replenishmentenv
공식 코드A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management
https://github.com/vida-nyu/city-surfaces
공식 코드CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials
https://github.com/vidalt/HGS-SSP
공식 코드A simple and effective hybrid genetic search for the job sequencing and tool switching problem
https://github.com/vita-group/o1-planning
공식 코드On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability
https://github.com/vithyayogarajan/covid-19-patient-shielding
공식 코드Predicting COVID-19 Patient Shielding: A Comprehensive Study
https://github.com/vitiugin/cliqs-cm
공식 코드https://github.com/vllm-project/vllm
공식 코드Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/vnatesh/rosko
공식 코드Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels
https://github.com/vnemani14/uq_ml_review
공식 코드https://github.com/vperifan/federated-time-series-forecasting
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.