https://github.com/vlomonaco/US-TransportationMode
Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity
Papers with Code 아카이브
Data-free Knowledge Distillation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 8
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vrama91/cider
https://github.com/vrama91/coco-caption
https://github.com/vrunm/text-classification-financial-phrase-bank
https://github.com/vztu/BVQA_Benchmark
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
https://github.com/vztu/VIDEVAL
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
https://github.com/vztu/VIDEVAL_release
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
https://github.com/w-sugar/mmdetection
https://github.com/wMito/HuSc3D
HuSc3D: Human Sculpture dataset for 3D object reconstruction
https://github.com/wangjw6/llmob
https://github.com/wasserth/totalsegmentator
https://github.com/wendelinboehmer/dcg
https://github.com/wenhuchen/data-to-text-evaluation-metric
https://github.com/wenlai-lavine/jola
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
https://github.com/wenyueh/llm-recsys-id
https://github.com/westny/neural-stability
Which priors matter? Benchmarking models for learning latent dynamics
https://github.com/wmdataphys/FM4DIRC
Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider
https://github.com/wsx66848/detection
https://github.com/wuxx1016/Reinforcement-Learning-in-Finance
https://github.com/wyndwarrior/imitation_from_observation
Benchmarking Deep Reinforcement Learning for Continuous Control
https://github.com/xingyu-lin/softagent
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
https://github.com/xqnwang/fuma
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
https://github.com/xue-pai/FuxiCTR
https://github.com/xy-guo/mmdetection_kitti
https://github.com/yan-gao-GY/FedScale
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
https://github.com/yangletliu/finlora
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
https://github.com/yangyanli/PointCNN
https://github.com/yanmeizhao/MyMmdetection
https://github.com/yaodongyu/projnorm
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
https://github.com/yaq007/cleverhans
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
https://github.com/yaroslav-moiseev/evidence-based-possibly-best-practices-in-classical-ML
https://github.com/yashkotadia/GatedGCN-PATTERN
https://github.com/yifan-fanyi/Pixelhop
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification
https://github.com/yifan-fanyi/myMCL-Realization
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification
https://github.com/yinanhe/ForgeryNet
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
https://github.com/yizhongw/tk-instruct
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.