https://github.com/lxa9867/R2VOS
$\text{R}^2$-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations
Papers with Code 아카이브
Benchmarking
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https://github.com/lyon-nlp/mteb-french
https://github.com/machinelearninglifescience/poli
https://github.com/madrylab/pretraining-distribution-shift-robustness
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/magic-ai4med/medrbench
Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases
https://github.com/mahi97/XQMIX
https://github.com/mainaksingha01/applenet
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mainaksingha01/odg-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/malbergo/stochastic-interpolants
https://github.com/malerinc/fabricatio-rl
Towards Standardising Reinforcement Learning Approaches for Production Scheduling Problems
https://github.com/marcinknara/520-ML-DevToolKit
https://github.com/mattemartini/explainable-and-trustworthy-ai-project
ferret: a Framework for Benchmarking Explainers on Transformers
https://github.com/matyasbohacek/spoter
https://github.com/maumueller/ann-benchmarks-reproducibility
ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms
https://github.com/mayubo2333/mmlongbench-doc
MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations
https://github.com/maziarg/PrivAttack-BCQ
https://github.com/mbzuai-nlp/llm-detectaive
https://github.com/mbzuai-nlp/openfactcheck
https://github.com/mcanalesmayo/heterogeneous-slambench
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
https://github.com/mcg-nju/adamixer
https://github.com/media2x/realsr-ncnn-vulkan-python
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
https://github.com/megagonlabs/ambignlg
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
https://github.com/mengfu188/mmdetection.bak
https://github.com/mertyg/post-hoc-cbm
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/metaevo/metabox
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
https://github.com/mgbellemare/Arcade-Learning-Environment
The Arcade Learning Environment: An Evaluation Platform for General Agents
https://github.com/mi2-warsaw/MI2DataLab_Seminarium
Tunability: Importance of Hyperparameters of Machine Learning Algorithms
https://github.com/mic-dkfz/lesionlocator
https://github.com/miccunifi/searle
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
https://github.com/michael-hoss/rolling-review-updates
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
https://github.com/michaelaerni/interpolation_robustness
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/michal-crosta/GIT19
https://github.com/michi-3000/eyeclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/microsoft/AirSim-Drone-Racing-Lab
https://github.com/microsoft/GLIP
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
https://github.com/microsoft/MSMARCO-Conversational-Search
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.