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Benchmarking

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/phonchi/Cryo-RAlib

공식 코드

Cryo-RALib -- a modular library for accelerating alignment in cryo-EM

https://github.com/pic4ser/pic4rl_gym

공식 코드

PIC4rl-gym: a ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning

https://github.com/pic4ser/unsupervised-novelty-detection-methods-benchmarking-with-wavelet-decomposition

공식 코드

Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition

https://github.com/picda/picbench

공식 코드

PICBench: Benchmarking LLMs for Photonic Integrated Circuits Design

https://github.com/pierlj/aaf_framework

공식 코드

A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images

https://github.com/pierreadorni/capabilities-encoding

공식 코드

Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach

https://github.com/pierrecolombo/rankingnlpsystems

공식 코드

What are the best systems? New perspectives on NLP Benchmarking

https://github.com/pjlallen/surgical-image-restoration

공식 코드

Benchmarking Laparoscopic Surgical Image Restoration and Beyond

https://github.com/pku-baichuan-mlsystemlab/fb-bench

공식 코드

FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback

https://github.com/pku-dair/hetu-galvatron

공식 코드

Galvatron: An Automatic Distributed System for Efficient Foundation Model Training

https://github.com/pkulcwmzx/knowledge-boundary

공식 코드

Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

https://github.com/plan-lab/mtsbench

공식 코드

mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale

https://github.com/plantnet/malpolon

공식 코드

MALPOLON: A Framework for Deep Species Distribution Modeling

https://github.com/plumdeq/neuro-kglink

공식 코드

Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes

https://github.com/pluslabnlp/geneva

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GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles

https://github.com/pmc-patients/pmc-patients

공식 코드

PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support Systems

https://github.com/pmernyei/wiki-cs-dataset

공식 코드

Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

https://github.com/pmoriano/benchmarking-unsupervised-online-IDS-masquerade-attacks

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Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN

https://github.com/pokerwf/KnowLogic

공식 코드

SCoRE: Benchmarking Long-Chain Reasoning in Commonsense Scenarios

https://github.com/polixir/neorl2

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NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios

https://github.com/polowitty/covdocker

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CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions

https://github.com/polyagent/from-bytes-to-borsch

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From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representation

https://github.com/pragmaticslab/vote_and_rank

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Vote'n'Rank: Revision of Benchmarking with Social Choice Theory

https://github.com/pralab/imagenet-patch

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ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches

https://github.com/pranav-chib/trajimpute

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Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking

https://github.com/pranavmaneriker/graphconformal-code

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Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs

https://github.com/prannaykaul/lvc

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Label, Verify, Correct: A Simple Few Shot Object Detection Method

https://github.com/prantik-pdeb/best-les

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BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision

https://github.com/prgumd/PRGFlow

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PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry

https://github.com/princeton-nlp/intercode

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InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback

https://github.com/princeton-vl/SpatialSense

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SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

https://github.com/princetonvisualai/imagecaptioning-bias

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Understanding and Evaluating Racial Biases in Image Captioning

https://github.com/princetonvisualai/intersectionality

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Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

https://github.com/pris-cv/pascal-ea

공식 코드

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing

https://github.com/profjsb/deepCR

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deepCR: Cosmic Ray Rejection with Deep Learning

https://github.com/profyliu/bsnsing

공식 코드

bsnsing: A decision tree induction method based on recursive optimal boolean rule composition

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