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

https://github.com/ModelOriented/ModelDevelopmentProcess

Model Development Process

https://github.com/NVIDIA/DeepLearningExamples

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/NVIDIA/garak

Assessing Language Model Deployment with Risk Cards

https://github.com/NervanaSystems/distiller

Model compression via distillation and quantization

https://github.com/Nikolai10/Checkerboard-Context-Model

Checkerboard Context Model for Efficient Learned Image Compression

https://github.com/OctopusMind/DPO

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

https://github.com/OctopusMind/ORPO

ORPO: Monolithic Preference Optimization without Reference Model

https://github.com/OpenXAIProject/SHAP-Tutorial

A Unified Approach to Interpreting Model Predictions

https://github.com/PVirie/vmachine

(Yet) Another Theoretical Model of Thinking

https://github.com/Paarth3098/chatbot_p

A Neural Conversational Model

https://github.com/PaddlePaddle/PaddleClas

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/PaddlePaddle/PaddleDetection

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/PaddlePaddle/PaddleOCR

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

https://github.com/Patchwork53/EEEDAY-Dathathon2023-1st-Runners-Up

Bangla Grammatical Error Detection Using T5 Transformer Model

https://github.com/PeihaoChen/regnet

WaveNet: A Generative Model for Raw Audio

https://github.com/Peter7Yao/RNM

Relation-Aware Neighborhood Matching Model for Entity Alignment

https://github.com/PeterWang512/GANSketching

Rewriting a Deep Generative Model

https://github.com/PhilippeNguyen/keras_wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/PkuRainBow/OCNet

SegFix: Model-Agnostic Boundary Refinement for Segmentation

https://github.com/PkuRainBow/OCNet.pytorch

SegFix: Model-Agnostic Boundary Refinement for Segmentation

https://github.com/PotatoSpudowski/CactiNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/QinbinLi/MOON

Model-Contrastive Federated Learning

https://github.com/Qtsho/model-based-rl-navigation

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

https://github.com/RamsteinWR/wavenet-master

WaveNet: A Generative Model for Raw Audio

https://github.com/RexGLiu/rlpyt_crbp

An Empirical Model of Large-Batch Training

https://github.com/RobotMobile/cv-deep-learning-paper-review

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

https://github.com/RonyAbecidan/noiseprint-pytorch

Noiseprint: a CNN-based camera model fingerprint

https://github.com/SSTGroup/Source-detection-in-colored-noise

Model-order selection in statistical shape models

https://github.com/SachaIZADI/Misc-Machine-Learning

Model Cards for Model Reporting

https://github.com/Salazar-99/Gravitational-WaveNet

WaveNet: A Generative Model for Raw Audio

https://github.com/SalesforceAIResearch/DiffusionDPO

Diffusion Model Alignment Using Direct Preference Optimization

https://github.com/ShadenSmith/ghpages-test

ZeRO-Offload: Democratizing Billion-Scale Model Training

https://github.com/ShaneFlandermeyer/bmpc-jax

Bootstrapped Model Predictive Control

https://github.com/Shereen-Elsayed/MBSRec

Context-Aware Sequential Model for Multi-Behaviour Recommendation

https://github.com/Sherry-Xu/Deep-Stochastic-Volatility-Model

Deep Stochastic Volatility Model

https://github.com/ShibiHe/Model-Free-Episodic-Control

Model-Free Episodic Control

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