Papers with Code 아카이브

model

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

0

보존된 평가 기록

0

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mikacuy/deformation_aware_embedding

Deformation-Aware 3D Model Embedding and Retrieval

https://github.com/mindspore-ai/models/blob/master/research/cv/efficientnet-b0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/mindspore-ai/models/tree/master/official/cv/cnnctc

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

https://github.com/mindspore-ai/models/tree/master/official/cv/octsqueeze

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

https://github.com/mindspore-ai/models/tree/master/research/audio/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/conv/MBConv.py

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/efficientnet.py

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/rexnet.py

Rethinking Channel Dimensions for Efficient Model Design

https://github.com/mindspore-lab/mindone

FiT: Flexible Vision Transformer for Diffusion Model

https://github.com/mingdeyu/DGP

Linked Deep Gaussian Process Emulation for Model Networks

https://github.com/mingxingtan/efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/minhpqn/vietner

A Feature-Rich Vietnamese Named-Entity Recognition Model

https://github.com/minxuanjun/basalt-mirror

The Double Sphere Camera Model

https://github.com/minxuanjun/basalt_class

The Double Sphere Camera Model

https://github.com/miramind/efficientnets_pytorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/mmasana/FACIL

Class-incremental Learning via Deep Model Consolidation

https://github.com/mmspg/mesh-sampling

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/mnikitin/EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/model-card/model-card

Model Cards for Model Reporting

https://github.com/modelfusion/otfusion

Model Fusion via Optimal Transport

https://github.com/modelscope/modelscope

GLM-130B: An Open Bilingual Pre-trained Model

https://github.com/mojivalipour/symbolicgpt

SymbolicGPT: A Generative Transformer Model for Symbolic Regression

https://github.com/monniert/unicorn

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/morganmcg1/stanford-cars

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/morrisxu-driving/video-music_cross-modal_retrival

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/mramly/CairoMent

AraBERT: Transformer-based Model for Arabic Language Understanding

https://github.com/msfasha/Arabic-NLP

AraBERT: Transformer-based Model for Arabic Language Understanding

https://github.com/mvenouziou/Project-Attention-Is-What-You-Get

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/mzakariaCERN/mzakaria.github.io

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

https://github.com/mzymzy/paper3-quantized_distillzation

Model compression via distillation and quantization

https://github.com/n-waves/multifit

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

https://github.com/nagaban2/nn_dynamics

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/najlaeLemrabet/FacialKeypointsDetection

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/namtuanly/MTL-TabNet

Image-based table recognition: data, model, and evaluation

https://github.com/nanzhaogang/contrib/tree/master/application/a-self-attentive-model-for-knowledge-tracing

A Self-Attentive model for Knowledge Tracing

https://github.com/narumiruna/efficientnet-pytorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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