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

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/camembert

CamemBERT: a Tasty French Language Model

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/2024-MindSpore-1/Code3/tree/main/MindNLP

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

https://github.com/2024-MindSpore-1/Code7/tree/main/cnnctc

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

https://github.com/6210612757/facerecognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/AI-Huang/WaveNet

WaveNet: A Generative Model for Raw Audio

https://github.com/AI4LIFE-GROUP/LLM_Explainer

OpenXAI: Towards a Transparent Evaluation of Model Explanations

https://github.com/AIM-SKKU/TVQ

Task Vector Quantization for Memory-Efficient Model Merging

https://github.com/AliBahri94/SVWA_TTA

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/AmazingDay1/TAME

VMamba: Visual State Space Model

https://github.com/AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/AnamikaLochab/EBRM

Reward Model Ensembles Help Mitigate Overoptimization

https://github.com/AndreyKolomiets/News_Headline_Generation

A Deep Reinforced Model for Abstractive Summarization

https://github.com/Anish144/causal_discovery_bayesian_model_selection

Bivariate Causal Discovery using Bayesian Model Selection

https://github.com/AntoAndGar/task_singular_vectors

Mergenetic: a Simple Evolutionary Model Merging Library

https://github.com/Arizona-Voice/blossom

A neural attention model for speech command recognition

https://github.com/BY571/MBPO

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/Baichenjia/Tensorflow-TCN

WaveNet: A Generative Model for Raw Audio

https://github.com/BenjiKCF/EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Ber666/RAP

Reasoning with Language Model is Planning with World Model

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

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Broccaloo/Jukebox_mod

Jukebox: A Generative Model for Music

https://github.com/Burf/EfficientNet-Lite-Tensorflow2

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/CRIPAC-DIG/RecTextAttack

Stealthy Attack on Large Language Model based Recommendation

https://github.com/Chasm4359/ProTS

WaveNet: A Generative Model for Raw Audio

https://github.com/Cherrydomini/Effects-of-feature-dropping-on-COMPAS-with-the-influence-of-LIME-

BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations

https://github.com/ChintanThacker/Facial_Expression_EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/ChrisDienes/hurdle_pca

The low-rank hurdle model

https://github.com/Conchylicultor/DeepQA

A Neural Conversational Model

https://github.com/CongBao/ChatBot

A Neural Conversational Model

https://github.com/Cyprien0105/DataScience

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/D-X-Y/DXY-Projects/tree/master/MSPLD

Few-Example Object Detection with Model Communication

https://github.com/D-a-r-e-k/Source-Code-Modelling

A deep language model for software code

https://github.com/DSTC-MSR-NLP/DSTC7-End-to-End-Conversation-Modeling

A Knowledge-Grounded Neural Conversation Model

https://github.com/DableUTeeF/keras-efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Daniel-H-99/Patient-Knowledge-Distillation

Patient Knowledge Distillation for BERT Model Compression

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