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

https://github.com/3dcompat200/3dcompat200

공식 코드

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes

https://github.com/99andBeyond/Apollo1060

공식 코드

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

https://github.com/AGMoller/worker_vs_gpt

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The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks

https://github.com/AI-secure/DataLens

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DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

https://github.com/ATR-DBI/Map-EQA

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Map-based Modular Approach for Zero-shot Embodied Question Answering

https://github.com/AjayP13/webdreamer

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Large Language Models Can Self-Improve At Web Agent Tasks

https://github.com/AlexS28/SABER

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SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots

https://github.com/ArashNasrEsfahani/Object-Rearrangement-in-Dynamic-Environments

공식 코드

AI-Driven Relocation Tracking in Dynamic Kitchen Environments

https://github.com/CEA-LIST/AD-RobustnessEval

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Evaluating Robustness over High Level Driving Instruction for Autonomous Driving

https://github.com/CNJianLiu/Neural-Brain-for-Embodied-Agents

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Neural Brain: A Neuroscience-inspired Framework for Embodied Agents

https://github.com/Data-Centric-GraphML/awesome-papers

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Towards Data-centric Graph Machine Learning: Review and Outlook

https://github.com/Ekim-Yurtsever/Hybrid-DeepRL-Automated-Driving

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Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving

https://github.com/EmanuelSommer/MILE

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Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks

https://github.com/FireFYF/modulatedautoencoder

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Variable Rate Deep Image Compression with Modulated Autoencoder

https://github.com/Haiyang-W/MAVN

공식 코드

Collaborative Visual Navigation

https://github.com/HanqingWangAI/SSM-VLN

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Structured Scene Memory for Vision-Language Navigation

https://github.com/IBM/AIX360

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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

https://github.com/IBM/IBM_VizWiz

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Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge

https://github.com/IDEA-FinAI/Simple-HHEA

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Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets

https://github.com/ImTanay/LLM-Automatic-Ontology-Generation

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Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field

https://github.com/IntelLabs/baa-ngp

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BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives

https://github.com/JacobPfau/procgenAISC

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Goal Misgeneralization in Deep Reinforcement Learning

https://github.com/JinnnK/BNBRLplus

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Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots

https://github.com/KevinEloff/rl-collaborative-communication

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Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language

https://github.com/Kthyeon/ssfod

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Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection

https://github.com/KuoHaoZeng/Interactive_Visual_Navigation

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Pushing it out of the Way: Interactive Visual Navigation

https://github.com/KupynOrest/DeblurGANv2

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DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

https://github.com/Li-ChangHao/CoNav

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CoNav: A Benchmark for Human-Centered Collaborative Navigation

https://github.com/LorenzoBini4/Attention-LeukoGraph

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Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph

https://github.com/MPC-Dynamic/Growth

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Modeling the Dynamics of Growth in Master-Planned Communities

https://github.com/MarSaKi/NvEM

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Neighbor-view Enhanced Model for Vision and Language Navigation

https://github.com/MartinBraquet/vector-field-obstacle-avoidance

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Vector Field-based Collision Avoidance for Moving Obstacles with Time-Varying Elliptical Shape

https://github.com/MathiasThor/CPG-RBFN-framework

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Versatile modular neural locomotion control with fast learning

https://github.com/MichiganNLP/BeliefCongruenceSim

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Mind the (Belief) Gap: Group Identity in the World of LLMs

https://github.com/MrZihan/NavRAG

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NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

https://github.com/MrZihan/Sim2Real-VLN-3DFF

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Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation

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