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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ubc-vision/make-a-story
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
https://github.com/umautobots/failing-to-learn
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
https://github.com/unrealcv/unrealcv
https://github.com/unstablecursor/robotino_rl
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments
https://github.com/utiasasrl/crystal_ball_nav
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation
https://github.com/utiasasrl/utin3d
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation
https://github.com/vcarehuman/YoloPose
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/vinuni-vishc/pppf-cross-silo-fl
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
https://github.com/vita-group/deblurganv2
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/vtolani95/HumANav-Release
Visual Navigation Among Humans with Optimal Control as a Supervisor
https://github.com/wcarvalho/jaxneurorl
https://github.com/white127/squad-2.0-bidaf
https://github.com/willis-richard/meltingpot
https://github.com/xiaobaicxy/Bidaf_SQuAD_MC_Pytorch
https://github.com/xiexiexiaoxiexie/Udacity-self-driving-car-engineer-P7-Highway-Driving
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
https://github.com/xlang-ai/aguvis
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
https://github.com/xusophia/DataSciFinalProj
Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
https://github.com/yangletliu/finlora
https://github.com/yangysc/resinet
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
https://github.com/yifeisu/avdn-challenge
https://github.com/yifeisu/tg-gat
https://github.com/yl3829/Q-map
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
https://github.com/yuchenlin/LLM-Blender
WebGPT: Browser-assisted question-answering with human feedback
https://github.com/yugrocks/Question-Answering-with-BIDAF
https://github.com/zhang-yw/avn
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.