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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dianyehuang/robdvtus
공식 코드Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixture
https://github.com/dsgt-arc/checkthat-2025-numerical
공식 코드https://github.com/dsgt-arc/checkthat-2025-subject
공식 코드https://github.com/dsgt-arc/checkthat-2025-swd
공식 코드DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media
https://github.com/dsgt-arc/plantclef-2025
공식 코드Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification
https://github.com/dteodore/emotionarcs
공식 코드Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis
https://github.com/dylanashley/playlist-story-builder
공식 코드Automatic Embedding of Stories Into Collections of Independent Media
https://github.com/ekinakyurek/marc
공식 코드The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
https://github.com/emorynlp/levi-graph-amr-parser
공식 코드https://github.com/evanthebouncy/larc_gpt4
공식 코드https://github.com/facebookresearch/digit360
공식 코드https://github.com/fastestimator/ARC
공식 코드To Raise or Not To Raise: The Autonomous Learning Rate Question
https://github.com/fchollet/ARC
공식 코드https://github.com/fmerizzi/Deep_image_prior_inpainting_of_ancient_frescoes
공식 코드Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc
https://github.com/foger3/arc_deeplearning
공식 코드Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
https://github.com/gaochangwu/fmf-benchmark
공식 코드Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark
https://github.com/google-research/flan
공식 코드https://github.com/graph-and-geometric-learning/helm
공식 코드HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
https://github.com/gt-arc/apr-transformer
공식 코드https://github.com/hsndbk4/arc
공식 코드https://github.com/hysonlab/arcroute
공식 코드Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems
https://github.com/hysonlab/chinese_postman_problem
공식 코드https://github.com/ieit-yuan/yuan2.0-m32
공식 코드https://github.com/imoneoi/openchat
공식 코드https://github.com/insuhan/ntk-sketch-rf
공식 코드Scaling Neural Tangent Kernels via Sketching and Random Features
https://github.com/jb-01/lora-tle
공식 코드Token-Level Adaptation of LoRA Adapters for Downstream Task Generalization
https://github.com/jiancongxiao/adversarial-rademacher-complexity
공식 코드https://github.com/jluij/anchored_representation_clouds
공식 코드ARC: Anchored Representation Clouds for High-Resolution INR Classification
https://github.com/kaldi-asr/kaldi
공식 코드A Parallelizable Lattice Rescoring Strategy with Neural Language Models
https://github.com/kclip/localized-adaptive-risk-control
공식 코드https://github.com/khalil-research/ViTARC
공식 코드https://github.com/khalil-research/arga-aaai23
공식 코드Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
https://github.com/kksinghal/concept-search
공식 코드https://github.com/kmkurn/ppt-eacl2021
공식 코드PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation
https://github.com/lairgiyassir/manazel
공식 코드When Astronomy Meets AI: Manazel For Crescent Visibility Prediction in Morocco
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.