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

https://github.com/alililia/ms_extend/tree/main/gpu_efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/alipay/diffusion-model-for-instance-segmentation

DiffusionInst: Diffusion Model for Instance Segmentation

https://github.com/allenai/reward-bench

RewardBench 2: Advancing Reward Model Evaluation

https://github.com/amazon-science/contraclm

ContraCLM: Contrastive Learning For Causal Language Model

https://github.com/amirabbasasadi/PersianOCR

Implicit Language Model in LSTM for OCR

https://github.com/amirdy/dog-breed-classification

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/amittai/cynical

Cynical Selection of Language Model Training Data

https://github.com/anagabandi/nn_dynamics

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

https://github.com/anahnas/SIAP

A multinomial probabilistic model for movie genre predictions

https://github.com/anaishoareau/french_preprocessing

CamemBERT: a Tasty French Language Model

https://github.com/anandharaju/Basic_TCN

WaveNet: A Generative Model for Raw Audio

https://github.com/andi611/Mockingjay-Speech-Representation

An Unsupervised Autoregressive Model for Speech Representation Learning

https://github.com/andreasvc/literariness

A Data-Oriented Model of Literary Language

https://github.com/angelolovatto/raylab

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/anjith2006/bob.paper.tbiom2023_edgeface

EdgeFace: Efficient Face Recognition Model for Edge Devices

https://github.com/ankurtaly/Attributions

Did the Model Understand the Question?

https://github.com/ankurtaly/Integrated-Gradients

Did the Model Understand the Question?

https://github.com/anyboby/ConstrainedMBPO

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/apoorvumang/prompt-lookup-decoding

Accelerating Large Language Model Decoding with Speculative Sampling

https://github.com/aravind0706/neural-mpc

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

https://github.com/aravindsrinivas/neural-mpc

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

https://github.com/ariaattar/CASM-PyTorch

Context-Aware Sequential Model for Multi-Behaviour Recommendation

https://github.com/armin-azh/3DefficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/arnab39/equiadapt

Improved Canonicalization for Model Agnostic Equivariance

https://github.com/arobey1/mbdg

Model-Based Domain Generalization

https://github.com/arshadshk/GatedWord-Character_Recurrent_Language_Model

Gated Word-Character Recurrent Language Model

https://github.com/arshadshk/SAKT-pytorch

A Self-Attentive model for Knowledge Tracing

https://github.com/asad-62/IVP-DNN

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/asadovsky/nn

A Span Selection Model for Semantic Role Labeling

https://github.com/ashishpatel26/tcn-keras-Examples

WaveNet: A Generative Model for Raw Audio

https://github.com/asif-hanif/vafa

Self-regulating Prompts: Foundational Model Adaptation without Forgetting

https://github.com/astooke/rlpyt

An Empirical Model of Large-Batch Training

https://github.com/aubrey-ao/humanbehavioranimation

GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents

https://github.com/autogluon/autogluon

Model-based Asynchronous Hyperparameter and Neural Architecture Search

https://github.com/awslabs/gluon-ts

WaveNet: A Generative Model for Raw Audio

https://github.com/awsm-research/autotransform-replication

Training Tips for the Transformer Model

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