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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/a-taniguchi/spcotmhp
공식 코드https://github.com/aavek/aeolus-ocean
공식 코드https://github.com/abhibambhaniya/genz-llm-analyzer
공식 코드Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models
https://github.com/adis98/stv
공식 코드Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
https://github.com/aditya-ramesh-10/chunktd
공식 코드Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
https://github.com/adityalab/gradabm
공식 코드https://github.com/adrijanik/concepts-exploration
공식 코드https://github.com/agiresearch/aios-lsfs
공식 코드From Commands to Prompts: LLM-based Semantic File System for AIOS
https://github.com/agrimgupta92/sgan
공식 코드Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/ai4co/rl4co
공식 코드RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
https://github.com/ai4eic/eic-rag-project
공식 코드Towards a RAG-based Summarization Agent for the Electron-Ion Collider
https://github.com/aicps/rs2g
공식 코드https://github.com/aidos-lab/Presto
공식 코드https://github.com/ailabspace/drl-based-mapless-crowd-navigation-with-perceived-risk
공식 코드https://github.com/aimagelab/ag3d
공식 코드https://github.com/airbert-vln/airbert
공식 코드Airbert: In-domain Pretraining for Vision-and-Language Navigation
https://github.com/airsplay/R2R-EnvDrop
공식 코드Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
https://github.com/airvln/airvln
공식 코드https://github.com/akhila-yerukola/normad
공식 코드NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models
https://github.com/alan-turing-institute/uk-labourflownetwork-model
공식 코드https://github.com/alexa/visitron
공식 코드VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator
https://github.com/alexmelekhin/mssplace
공식 코드MSSPlace: Multi-Sensor Place Recognition with Visual and Text Semantics
https://github.com/alexmonti19/dagnet
공식 코드DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting
https://github.com/alexsax/midlevel-reps
공식 코드https://github.com/algorithmicresearchgroup/ml-research-agent
공식 코드https://github.com/alickzhu/player
공식 코드PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery Games
https://github.com/allenai/Holodeck
공식 코드Holodeck: Language Guided Generation of 3D Embodied AI Environments
https://github.com/allenai/ai2thor
공식 코드https://github.com/allenai/bi-att-flow
공식 코드https://github.com/allenai/embodied-clip
공식 코드https://github.com/allenai/robothor-challenge
공식 코드https://github.com/allenai/sciriff
공식 코드SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
https://github.com/allenxuuu/disco
공식 코드DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control
https://github.com/alt-js/othellosae
공식 코드https://github.com/amazon-research/embert
공식 코드Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.