https://github.com/orashi/AlacGAN
공식 코드User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
Papers with Code 아카이브
Benchmarking
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/orion-ai-lab/efficientbigearthnet
공식 코드Benchmarking and scaling of deep learning models for land cover image classification
https://github.com/orion-ai-lab/wildfirespread
공식 코드https://github.com/oskoller/sign-language-state-of-the-art
공식 코드Quantitative Survey of the State of the Art in Sign Language Recognition
https://github.com/oss-bench/oss-bench
공식 코드https://github.com/osu-nlp-group/redteamcua
공식 코드RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments
https://github.com/otroshi/synthdistill
공식 코드https://github.com/owkin/hte
공식 코드Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
https://github.com/oxai/visogender
공식 코드VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
https://github.com/oxwhirl/pymarl
공식 코드https://github.com/oxwhirl/smac
공식 코드https://github.com/pair-code/interpretability
공식 코드Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
https://github.com/palaashagrawal/llmgraphtraversal
공식 코드https://github.com/palash1992/GEM-Benchmark
공식 코드https://github.com/palin2018/browsecomp-zh
공식 코드BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
https://github.com/panliangrui/nips2025
공식 코드https://github.com/paplhjak/facial-age-estimation-benchmark
공식 코드https://github.com/parham-ap/cytology_dataset
공식 코드https://github.com/patientzero/timage-icann2019
공식 코드https://github.com/patilli/vqa_benchmarking
공식 코드Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking
https://github.com/patricia-pereira/deep-emotion-recognition-in-textual-conversations
공식 코드https://github.com/patriziobellan86/petsotaandchallenges
공식 코드https://github.com/patriziobellan86/processextractionfromtextsotaandchallenges
공식 코드https://github.com/pawpuk/curvbim
공식 코드Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance
https://github.com/pbelcak/fastbert
공식 코드https://github.com/pbelcak/perkit
공식 코드https://github.com/pbonazzi/eva
공식 코드RGB-Event Fusion with Self-Attention for Collision Prediction
https://github.com/pchlenski/hyperdt
공식 코드https://github.com/peernagy/lob_bench
공식 코드LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data
https://github.com/pencilzhang/MAC-light-field-saliency-net
공식 코드Light Field Saliency Detection with Deep Convolutional Networks
https://github.com/penfever/sos-bench
공식 코드Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
https://github.com/perib/automl_digen_benchmark
공식 코드Benchmarking AutoML algorithms on a collection of synthetic classification problems
https://github.com/phandangthoai/Comparison-Performance-of-Spectrogram-and-Scalogram-as-Input-of-Acoustic-Recognition-Task
공식 코드Comparison Performance of Spectrogram and Scalogram as Input of Acoustic Recognition Task
https://github.com/phenixace/tomg-bench
공식 코드TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation
https://github.com/phenomicai/bascvi
공식 코드Benchmarking and optimizing organism wide single-cell RNA alignment methods
https://github.com/phoenixz810/risebench
공식 코드Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.