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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/olivesgatech/pointprompt

공식 코드

Benchmarking Human and Automated Prompting in the Segment Anything Model

https://github.com/omron-sinicx/action-constrained-rl-benchmark

공식 코드

Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints

https://github.com/on-point-rnd/ebes

공식 코드

EBES: Easy Benchmarking for Event Sequences

https://github.com/oneal2000/judge

공식 코드

JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System

https://github.com/onekq/webapp1k

공식 코드

Insights from Benchmarking Frontier Language Models on Web App Code Generation

https://github.com/oodrobustbench/oodrobustbench

공식 코드

OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift

https://github.com/open-catalyst-project/adsorbml

공식 코드

AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using Generalizable Machine Learning Potentials

https://github.com/open-compass/CIBench

공식 코드

CIBench: Evaluating Your LLMs with a Code Interpreter Plugin

https://github.com/open-compass/lawbench

공식 코드

LawBench: Benchmarking Legal Knowledge of Large Language Models

https://github.com/open-finance-lab/finlora

공식 코드

FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets

https://github.com/open-mmlab/mmdetection

공식 코드

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/open-mmlab/mmdetection3d

공식 코드

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models

https://github.com/open-social-world/egonormia

공식 코드

EgoNormia: Benchmarking Physical Social Norm Understanding

https://github.com/openai/CLIP

공식 코드

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/openai/procgen

공식 코드

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

https://github.com/openbenchmark/BARS

공식 코드

BARS: Towards Open Benchmarking for Recommender Systems

https://github.com/openbmb/eurus

공식 코드

Advancing LLM Reasoning Generalists with Preference Trees

https://github.com/openbmb/rageval

공식 코드

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

https://github.com/opendatalab/OmniDocBench

공식 코드

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

https://github.com/opendatalab/charm

공식 코드

Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations

https://github.com/opendatalab/mllm-dataengine

공식 코드

MLLM-DataEngine: An Iterative Refinement Approach for MLLM

https://github.com/opendataval/opendataval

공식 코드

OpenDataVal: a Unified Benchmark for Data Valuation

https://github.com/opendenoising/benchmark

공식 코드

OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers

https://github.com/openearthlab/predbench

공식 코드

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines

https://github.com/openforcefield/FE-Benchmarks-Best-Practices

공식 코드

Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks

https://github.com/openforcefield/protein-ligand-benchmark

공식 코드

Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks

https://github.com/openlka/openlka

공식 코드

OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving Conditions

https://github.com/openml/OpenML

공식 코드

OpenML Benchmarking Suites

https://github.com/openml/benchmark-suites

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OpenML Benchmarking Suites

https://github.com/opennlplab/tavgbench

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TAVGBench: Benchmarking Text to Audible-Video Generation

https://github.com/openxrlab/xrdslam

공식 코드

XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM

https://github.com/openxrlab/xrfeitoria

공식 코드

SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation

https://github.com/opipari/clearpose

공식 코드

ClearPose: Large-scale Transparent Object Dataset and Benchmark

https://github.com/oppo-mente-lab/facescore

공식 코드

FaceScore: Benchmarking and Enhancing Face Quality in Human Generation

https://github.com/optimai-lab/memory_efficient_pretraining

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Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking

https://github.com/optml-group/diffusion-mu-attack

공식 코드

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now

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