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

https://github.com/IntelAI/unet

Addressing the Memory Bottleneck in AI Model Training

https://github.com/JRC1995/Abstractive-Summarization

A Deep Reinforced Model for Abstractive Summarization

https://github.com/JacobM184/EfficientNet-for-Gun-detection

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/JiangWeibeta/Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression

Checkerboard Context Model for Efficient Learned Image Compression

https://github.com/JiaquanYe/TableMASTER-mmocr

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

https://github.com/Jintao-Huang/EfficientNet_PyTorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Jmak12/Iris1

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/JoegameZhou/cnnctc

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

https://github.com/JoegameZhou/efficientnet-b0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/JohnKurian/TableGPT

Few-Shot NLG with Pre-Trained Language Model

https://github.com/JunnYu/xlm_paddle

Cross-lingual Language Model Pretraining

https://github.com/KU-CVLAB/MoA

Parameter-efficient Model Adaptation for Vision Transformers

https://github.com/Kaixhin/EC

Model-Free Episodic Control

https://github.com/KarhouTam/FL-bench

FedMD: Heterogenous Federated Learning via Model Distillation

https://github.com/Karthik-Bhaskar/Context-Based-Question-Answering

CamemBERT: a Tasty French Language Model

https://github.com/KastanDay/video-pretrained-transformer

PaLM-E: An Embodied Multimodal Language Model

https://github.com/KomeijiForce/Active_Passive_Constraint_Koishiday_2024

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

https://github.com/Koukyosyumei/AIJack

FedMD: Heterogenous Federated Learning via Model Distillation

https://github.com/Kumar-Tarun/summarization

A Deep Reinforced Model for Abstractive Summarization

https://github.com/KurochkinAlexey/VHVM

Variational Heteroscedastic Volatility Model

https://github.com/LONG-9621/Derivative_Efficient

The Double Sphere Camera Model

https://github.com/Larsvanderlaan/causalGLM

Assumption-lean inference for generalised linear model parameters

https://github.com/LaurentLava/SHAP

A Unified Approach to Interpreting Model Predictions

https://github.com/Legoons/Melanoma_classification

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Line290/EDD-third-party

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

https://github.com/LucaHermes/lightweight-motion-forecasting

WaveNet: A Generative Model for Raw Audio

https://github.com/LucasAlegre/sac-plus

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/Luccadoremi/Model-Compression-DAQ

Training with Quantization Noise for Extreme Model Compression

https://github.com/Luckygyana/Invo-AI

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

https://github.com/LuxxxLucy/Active-Decision-Set-Induction

An Active Approach for Model Interpretation

https://github.com/MI2DataLab/elo-based-measure

Interpretable Meta-Measure for Model Performance

https://github.com/MS-Mind/MS-Code-02/tree/main/configs/rexnet

Rethinking Channel Dimensions for Efficient Model Design

https://github.com/MS-Mind/MS-Code-06/tree/main/OctSqueeze

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

https://github.com/MS-P3/code3/tree/main/jamba

Jamba: A Hybrid Transformer-Mamba Language Model

https://github.com/MS-P3/code7/tree/main/xlm

Cross-lingual Language Model Pretraining

https://github.com/MS-P3/code7/tree/main/xlm_roberta

Cross-lingual Language Model Pretraining

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