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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/openai/rllab

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/openbiolink/promptsource

Multitask Prompted Training Enables Zero-Shot Task Generalization

https://github.com/openbmb/toolbench

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

https://github.com/opendenoising/opendenoising-benchmark

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

https://github.com/opendrivelab/uniad

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

https://github.com/openml-labs/gama

GAMA: a General Automated Machine learning Assistant

https://github.com/openml/openml-aslib

OpenML Benchmarking Suites

https://github.com/openvinotoolkit/deep-object-reid

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

https://github.com/orionbench/orionbench

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

https://github.com/osilab-kaist/smac_exp

The StarCraft Multi-Agent Challenge

https://github.com/osilab-kaist/smac_plus

The StarCraft Multi-Agent Challenge

https://github.com/osu-nlp-group/hipporag

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

https://github.com/oxwhirl/facmac

The StarCraft Multi-Agent Challenge

https://github.com/oxwhirl/smacv2

The StarCraft Multi-Agent Challenge

https://github.com/p2irc/UDA4POC

Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods

https://github.com/pamela-project/slambench

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

https://github.com/patsp/coco

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

https://github.com/pbelcak/ultrafastbert

Exponentially Faster Language Modelling

https://github.com/pearl-utexas/sope

Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning

https://github.com/pencilzhang/LFNet-light-field-saliency-net

Light Field Saliency Detection with Deep Convolutional Networks

https://github.com/peteanderson80/coco-caption

CIDEr: Consensus-based Image Description Evaluation

https://github.com/petteriTeikari/vesselNN

ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines

https://github.com/philipp238/parfam

Contemporary Symbolic Regression Methods and their Relative Performance

https://github.com/pohlinwei/AComPianist

Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark

https://github.com/pokaxpoka/RAD_state_aug

Benchmarking Model-Based Reinforcement Learning

https://github.com/pokaxpoka/rad_openaigym

Benchmarking Model-Based Reinforcement Learning

https://github.com/prabhupad26/100daysofML

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/pralab/secml

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

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

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

https://github.com/protagolabs/odyssey-math

MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

https://github.com/pseulki/rococo

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/pulkit-khandelwal/picsl-ex-vivo-segmentation

Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases

https://github.com/pwc-1/Paper-10/tree/main/stablelm

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

https://github.com/pwc-1/Paper-8/tree/main/clip

Learning Transferable Visual Models From Natural Language Supervision

https://github.com/pwc-1/Paper-8/tree/main/dbrx

MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

https://github.com/pwc-1/Paper-9/tree/main/graphormer

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.