https://github.com/vertaix/llm4mat-bench
공식 코드LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction
Papers with Code 아카이브
Data-free Knowledge Distillation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/victorzxy/graphac
공식 코드Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
https://github.com/viczong/extract_covid19_events_from_twitter
공식 코드COVID-19 event extraction from Twitter via extractive question answering with continuous prompts
https://github.com/video-db/ocr-benchmark
공식 코드Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments
https://github.com/vijaydwivedi75/lrgb
공식 코드https://github.com/vimal-isi-edu/BioFors
공식 코드https://github.com/vinairesearch/tise-toolbox
공식 코드https://github.com/vinayakkapoor/vision_based_grasping_benchmarking
공식 코드A Benchmarking Study of Vision-based Robotic Grasping Algorithms
https://github.com/vincentdengp/3d-lr
공식 코드Can 3D Vision-Language Models Truly Understand Natural Language?
https://github.com/vio1etus/flpoison
공식 코드SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning
https://github.com/vis-sustech/visual-analytics-for-emo-algorithm-comparison
공식 코드https://github.com/visinf/idsds
공식 코드https://github.com/visipedia/newt
공식 코드Benchmarking Representation Learning for Natural World Image Collections
https://github.com/visteam-isr-uc/ylfw
공식 코드Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
https://github.com/vita-epfl/jrdb-traj
공식 코드JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds
https://github.com/vita-group/large_scale_gcn_benchmarking
공식 코드A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
https://github.com/vita-group/ssharmonization
공식 코드https://github.com/vitae-transformer/aptv2
공식 코드APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond
https://github.com/vlar-group/unsupobjseg
공식 코드Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images
https://github.com/vorausrobotik/voraus-ad-dataset
공식 코드The voraus-AD Dataset for Anomaly Detection in Robot Applications
https://github.com/vr18ub/court_view_generation
공식 코드One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support
https://github.com/vslaykovsky/ai-sourcing-benchmark
공식 코드Evaluating AI Recruitment Sourcing Tools by Human Preference
https://github.com/vut-hfut/micro-action
공식 코드Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
https://github.com/vwxyzjn/cleanrl
공식 코드CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
https://github.com/wabyking/qnn
공식 코드https://github.com/wad3birch/AutoBench-V
공식 코드AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
https://github.com/wadoodabdul/clinical_ner_benchmark
공식 코드https://github.com/walleclipse/reinforcement-learning-pulse-stacking
공식 코드An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
https://github.com/walledai/walledeval
공식 코드WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
https://github.com/wang-jh18-svm/griffin
공식 코드Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark
https://github.com/wang-ml-lab/multimodal-needle-in-a-haystack
공식 코드https://github.com/wang-research-lab/roz
공식 코드Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
https://github.com/wangcongcong123/sta
공식 코드STA: Self-controlled Text Augmentation for Improving Text Classifications
https://github.com/wangjiarui153/AIGV-Assessor
공식 코드https://github.com/wangjiongw/freeman_api
공식 코드FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions
https://github.com/wangwenhao0716/awesome-diffusion-replication
공식 코드Replication in Visual Diffusion Models: A Survey and Outlook
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.