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

https://github.com/inria-thoth/mlxp

공식 코드

MLXP: A Framework for Conducting Replicable Experiments in Python

https://github.com/instadeepai/EGTA-NMARL

공식 코드

A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning

https://github.com/intelligent-environments-lab/CityLearn

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CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management

https://github.com/intelligent-machine-learning/glake

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vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving

https://github.com/intelligent-systems-modelling/surrogate-assisted-moo-cvxport

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Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations

https://github.com/intelligentmachines-itu/domain-adaptive-building-counting

공식 코드

Cross-Region Building Counting in Satellite Imagery using Counting Consistency

https://github.com/iotdatalab/ace-evaluation

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ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence

https://github.com/irinastatslab/glucobench

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GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks

https://github.com/ismetdagli/hax-conn

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Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips

https://github.com/ivn-rin/bio-med-bit

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Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models

https://github.com/jackieli19/pgportfolio

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A Deep Reinforcement Learning Framework For Financial Portfolio Management

https://github.com/james-qiuhaoran/llm-serving-with-proxy-models

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Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction

https://github.com/jamesrenhoulee/CancerNet-SCa

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CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images

https://github.com/jamrot/chatgpt-vulnerability-management

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Exploring ChatGPT's Capabilities on Vulnerability Management

https://github.com/janbrederecke/fog

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Freezing of Gait Prediction From Accelerometer Data Using a Simple 1D-Convolutional Neural Network -- 8th Place Solution for Kaggle's Parkinson's Freezing of Gait Prediction Competition

https://github.com/janelia-cellmap/dacapo

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DaCapo: a modular deep learning framework for scalable 3D image segmentation

https://github.com/jasonnikolaou/tf-conflicts

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Team Formation amidst Conflicts

https://github.com/javiersgjavi/costi

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CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation

https://github.com/javirandor/disasters-wikipedia-floods

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Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood

https://github.com/jbrich95/pinnev

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Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks

https://github.com/jeroenmiddelhuis/learningresourceallocation

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Learning policies for resource allocation in business processes

https://github.com/jferstad/ml4h-explainable-policies

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Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach

https://github.com/jiangjiechen/auction-arena

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Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena

https://github.com/jianhaochen-nju/patecon

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PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs

https://github.com/jiayiliu-pku/dc2024

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Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques

https://github.com/jimengshi/fidlar

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FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation

https://github.com/jingtianyan/mass-aaai

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Multi-Agent Motion Planning For Differential Drive Robots Through Stationary State Search

https://github.com/jingwu6/lm_ag

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The New Agronomists: Language Models are Experts in Crop Management

https://github.com/jingyuanli-hk/vNM-Theorem-pub

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From Axioms to Algorithms: Mechanized Proofs of the vNM Utility Theorem

https://github.com/jjjerome/rl4mm

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Market Making with Scaled Beta Policies

https://github.com/jkkummerfeld/slate

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SLATE: A Super-Lightweight Annotation Tool for Experts

https://github.com/joelowj/unified_mom_mmoe

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DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts

https://github.com/joey-wang123/imbalancemeta

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Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness

https://github.com/john-hawkins/MinViME

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Minimum Viable Model Estimates for Machine Learning Projects

https://github.com/jonathandumas/capacity-firming-ro

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A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market: extended version

https://github.com/jonathandumas/generative-models

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A deep generative model for probabilistic energy forecasting in power systems: normalizing flows

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