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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zavalab/plasmodata.jl
공식 코드PlasmoData.jl -- A Julia Framework for Modeling and Analyzing Complex Data as Graphs
https://github.com/zchuz/cot-reasoning-survey
공식 코드https://github.com/zd11024/NaviLLM
공식 코드https://github.com/zehao-wang/lad
공식 코드Layout-aware Dreamer for Embodied Referring Expression Grounding
https://github.com/zhangpingrui/adaptive-text-dreamer
공식 코드Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation
https://github.com/zhao-lab/kalidindi_dpgp_multi_vehicle_2019
공식 코드Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
https://github.com/zhefan-xu/cerlab-uav-autonomy
공식 코드https://github.com/zhufengdaaa/soon
공식 코드SOON: Scenario Oriented Object Navigation with Graph-based Exploration
https://github.com/zikuncshelly/gradctrl
공식 코드https://github.com/ziningzhu/adversarial_helpfulness
공식 코드LLM-Generated Black-box Explanations Can Be Adversarially Helpful
https://github.com/zju-fast-lab/fsgp_bgk
공식 코드Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process
https://github.com/zjulihongxin/memonav
공식 코드https://github.com/zjunlp/ContinueMKGC
공식 코드https://github.com/zjunlp/machinesom
공식 코드Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
https://github.com/zjunlp/synworld
공식 코드SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
https://github.com/zukangy/kgp-curiousllm
공식 코드CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge Graph Prompting
https://github.com/zzxslp/Bilingual-VLN
공식 코드https://github.com/zzxslp/Crosslingual-VLN
공식 코드https://gitlab.com/mihaicristianpirvu/pose2rgbd
공식 코드Pose2RGBD. Generating Depth and RGB images from absolute positions
https://gitlab.com/thor-auto1/thor-auto
공식 코드https://github.com/Adlith/tph-yolov5
https://github.com/AidaAmini/DyGIE-COFIE
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
https://github.com/Anirudhsekar96/Noisy_SGD
Adaptively Preconditioned Stochastic Gradient Langevin Dynamics
https://github.com/ApolloScapeAuto/dataset-api
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
https://github.com/AroMorin/DNNOP
https://github.com/Chumsy0725/DGWM
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
https://github.com/DanielDworakowski/flot
https://github.com/Darshansingh11/AVLectures
https://github.com/Deepak-Work/Passage_Retrieval
https://github.com/ElizaLo/Question-Answering-based-on-SQuAD
https://github.com/GT-RIPL/robo-vln
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/GauthierDmn/question_answering
https://github.com/HDCVLab/MC-Blur-Dataset
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/Jiaxin-Ye/DepMamba
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
https://github.com/JohnKurian/R2D2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.