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

https://github.com/ShichengChen/WaveNetSeparateAudio

WaveNet: A Generative Model for Raw Audio

https://github.com/Shivendra-psc/speechbot

WaveNet: A Generative Model for Raw Audio

https://github.com/ShotDownDiane/tcn-master

WaveNet: A Generative Model for Raw Audio

https://github.com/ShuSQ/CCI_AP_PoseLoops

WaveNet: A Generative Model for Raw Audio

https://github.com/SifatMd/Research-Papers

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/SirRob1997/Collaborative-Filtering-under-Model-Uncertainty

Collaborative Filtering under Model Uncertainty

https://github.com/SnailDev/github-hot-hub

DiffusionDet: Diffusion Model for Object Detection

https://github.com/Somefive/XNLI

Cross-lingual Language Model Pretraining

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

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/SwapnilPande/MOReL

MOReL : Model-Based Offline Reinforcement Learning

https://github.com/THUDM/GLM

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

https://github.com/TJUIRLAB/AAAI19-TSLM

A Generalized Language Model in Tensor Space

https://github.com/TU2021/DPO-VP

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

https://github.com/Talk2Levi/DJL

WaveNet: A Generative Model for Raw Audio

https://github.com/TanUkkii007/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/TheCamusean/grasp_diffusion

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/TheophileBlard/french-sentiment-analysis-with-bert

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

https://github.com/Tikquuss/meta_XLM

Cross-lingual Language Model Pretraining

https://github.com/Tirth27/Skin-Cancer-Classification-using-Deep-Learning

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/TobiasNorlund/flashback-gpt

Building a Swedish Open-Domain Conversational Language Model

https://github.com/Tommy-Ngx/AM-MobileNet1D

AM-MobileNet1D: A Portable Model for Speaker Recognition

https://github.com/Tommy-Ngx/MobileNetV1_SR

AM-MobileNet1D: A Portable Model for Speaker Recognition

https://github.com/TooTouch/WhiteBox-Part2

A Unified Approach to Interpreting Model Predictions

https://github.com/TravisLeeTS/grabcvchallenge

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Trustworthy-AI-Group/TransferAttack

Training Meta-Surrogate Model for Transferable Adversarial Attack

https://github.com/TsingZ0/PFL-Non-IID

Personalized Federated Learning with First Order Model Optimization

https://github.com/VD44/Rouge-L-Tensorflow

A Deep Reinforced Model for Abstractive Summarization

https://github.com/Vikas-Sony/speech-to-text

WaveNet: A Generative Model for Raw Audio

https://github.com/VinayBhupalam/melanoma-detection

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/VladyslavUsenko/basalt-headers-mirror

The Double Sphere Camera Model

https://github.com/WLM1ke/poptimizer

WaveNet: A Generative Model for Raw Audio

https://github.com/WenkeHuang/Pytorch_FedMD

FedMD: Heterogenous Federated Learning via Model Distillation

https://github.com/WilsonWangTHU/mbbl-metrpo

Model-Ensemble Trust-Region Policy Optimization

https://github.com/Windfisch/papertool

Partial Procedural Geometric Model Fitting for Point Clouds

https://github.com/WonJunPark/Efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Wwangb/DiffPatch

DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model

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