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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/jakobhavtorn/benchmarking-lvms

공식 코드

Benchmarking Generative Latent Variable Models for Speech

https://github.com/jameszhou-gl/gpt-4v-distribution-shift

공식 코드

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation

https://github.com/jamycheung/ISSAFE

공식 코드

ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data

https://github.com/janosh/matbench-discovery

공식 코드

Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

https://github.com/janosh/pymatviz

공식 코드

Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

https://github.com/jarrycyx/unn

공식 코드

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

https://github.com/jarvisyjw/gv-bench

공식 코드

GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection

https://github.com/jasonlsc/gscodec_studio

공식 코드

GSCodec Studio: A Modular Framework for Gaussian Splat Compression

https://github.com/java-bench/javabench

공식 코드

JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models

https://github.com/jawadtahir/challenger

공식 코드

The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data

https://github.com/jayabrata97/Deep-Attention-Driven-Reinforccement-Learning-DAD-RL

공식 코드

Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment

https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks

공식 코드

Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets

https://github.com/jeffreywpli/stronger-than-you-think

공식 코드

Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks

https://github.com/jeffwang987/openoccupancy

공식 코드

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

https://github.com/jehanyang/emgbench

공식 코드

EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography

https://github.com/jejjohnson/oceanbench

공식 코드

OceanBench: The Sea Surface Height Edition

https://github.com/jemjemzzz/code-ownership

공식 코드

Code Ownership in Open-Source AI Software Security

https://github.com/jenine-321/genface

공식 코드

GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning

https://github.com/jeromeramos70/user-profile-recommendation

공식 코드

Transparent and Scrutable Recommendations Using Natural Language User Profiles

https://github.com/jessefarebro/dqn-ale

공식 코드

Generalization and Regularization in DQN

https://github.com/jessicafry/tidmad

공식 코드

TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising

https://github.com/jetbrains-research/coqpilot

공식 코드

CoqPilot, a plugin for LLM-based generation of proofs

https://github.com/jgh9094/GPTP-2021-Exploration-Of-Exploration

공식 코드

An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality

https://github.com/jha-lab/cnn_design-space

공식 코드

CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework

https://github.com/jha-lab/codebench

공식 코드

CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework

https://github.com/jhoelli/xtsc-bench

공식 코드

XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification

https://github.com/jhu-clsp/analogical-reasoning

공식 코드

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies

https://github.com/ji-cather/graphagent

공식 코드

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models

https://github.com/jia-py/erase

공식 코드

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

https://github.com/jiachens/ModelNet40-C

공식 코드

Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions

https://github.com/jiangjyjy/yue-benchmark

공식 코드

How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models

https://github.com/jianhao2016/AllSet

공식 코드

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

https://github.com/jiarunliu/biovfm

공식 코드

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis

https://github.com/jiawei-ren/modelnetc

공식 코드

Benchmarking and Analyzing Point Cloud Classification under Corruptions

https://github.com/jiaweilian/ap-pa

공식 코드

Benchmarking Adversarial Patch Against Aerial Detection

https://github.com/jiaweilian/benchmarking_physical_attack

공식 코드

PADetBench: Towards Benchmarking Physical Attacks against Object Detection

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