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Benchmarking

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코드

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

https://github.com/dilyabareeva/quanda

공식 코드

Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond

https://github.com/diponkor-bala/autism-spectrum-disorder

공식 코드

An Evaluation of Machine Learning Approaches for Early Diagnosis of Autism Spectrum Disorder

https://github.com/disl-lab/finesure-acl24

공식 코드

FineSurE: Fine-grained Summarization Evaluation using LLMs

https://github.com/distributionnetworkstudelft/ev2gym

공식 코드

EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking

https://github.com/divelab/DIG

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DIG: A Turnkey Library for Diving into Graph Deep Learning Research

https://github.com/dkgupta90/re-siamnet

공식 코드

Rotation Equivariant Siamese Networks for Tracking

https://github.com/dl-wg/gcn-lstm-wildfire

공식 코드

Explainable Global Wildfire Prediction Models using Graph Neural Networks

https://github.com/dlr-mi/pim

공식 코드

Can a single neuron learn predictive uncertainty?

https://github.com/dmadras/nooch

공식 코드

Identifying and Benchmarking Natural Out-of-Context Prediction Problems

https://github.com/dmah10/EvalxNLP

공식 코드

EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models

https://github.com/docailab/xrag

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XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation

https://github.com/docu-mint/documint

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DocuMint: Docstring Generation for Python using Small Language Models

https://github.com/dongchen06/scooterdet

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Performance Evaluation of Real-Time Object Detection for Electric Scooters

https://github.com/dongjing3309/minisam

공식 코드

miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework

https://github.com/dongyh20/octopus

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Octopus: Embodied Vision-Language Programmer from Environmental Feedback

https://github.com/doviledo/transferability-in-medical-imaging

공식 코드

On dataset transferability in medical image classification

https://github.com/dptech-corp/Uni-Mol

공식 코드

Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+

https://github.com/dptech-corp/nag2g

공식 코드

Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis

https://github.com/dreamtheater123/voxeval

공식 코드

VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models

https://github.com/drorlab/glow_ives

공식 코드

Enhancing Ligand Pose Sampling for Molecular Docking

https://github.com/dssg/aequitas

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Aequitas Flow: Streamlining Fair ML Experimentation

https://github.com/dtennant/mirb_eval

공식 코드

Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

https://github.com/ducha-aiki/navigation-benchmark

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Benchmarking Classic and Learned Navigation in Complex 3D Environments

https://github.com/duggalrahul/MICCAI17_EndoVis_RoboSeg

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2017 Robotic Instrument Segmentation Challenge

https://github.com/dunnkers/msc-thesis

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A novel evaluation methodology for supervised Feature Ranking algorithms

https://github.com/duongpm/SPSO

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Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization

https://github.com/dwzhu-pku/longembed

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LongEmbed: Extending Embedding Models for Long Context Retrieval

https://github.com/dxli94/WLASL

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Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison

https://github.com/e-tornike/sil

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Enriching Social Science Research via Survey Item Linking

https://github.com/eason-li-ais/drafterbench

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DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

https://github.com/ebalti/Low-Complexity-Hybrid-Beamforming-For-MmWave-Full-Duplex-Integrated-Access-And-Backhaul

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Low Complexity Hybrid Beamforming for mmWave Full-Duplex Integrated Access and Backhaul

https://github.com/eceo-epfl/coralscapesScripts

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The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs

https://github.com/ecker-lab/object-centric-representation-benchmark

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Benchmarking Unsupervised Object Representations for Video Sequences

https://github.com/ecker-lab/sensorium_2023

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Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

https://github.com/eclipsess/awesome-efficient-reasoning-llms

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Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

https://github.com/ecnu-text-computing/knowledge-editing-benchmark

공식 코드

Benchmarking and Rethinking Knowledge Editing for Large Language Models

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