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

https://github.com/DSIP-FBK/GPTCast

공식 코드

GPTCast: a weather language model for precipitation nowcasting

https://github.com/DandyQi/CentraBert

공식 코드

A Flexible Multi-Task Model for BERT Serving

https://github.com/Data-Science-in-Mechanical-Engineering/macura

공식 코드

Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption

https://github.com/DataDistillation/D2M

공식 코드

Data-to-Model Distillation: Data-Efficient Learning Framework

https://github.com/Debatrix/LifeLong-CLIP

공식 코드

CLIP model is an Efficient Online Lifelong Learner

https://github.com/DinhHieuHoang/SAM3D

공식 코드

SAM3D: Segment Anything Model in Volumetric Medical Images

https://github.com/Dipeshtamboli/Interactive-GradCAM

공식 코드

Explaining decision of model from its prediction

https://github.com/Dolorousrtur/style-people

공식 코드

StylePeople: A Generative Model of Fullbody Human Avatars

https://github.com/EleutherAI/math-lm

공식 코드

Llemma: An Open Language Model For Mathematics

https://github.com/Energy-MAC/PowerSystemsScientificComputing

공식 코드

Computational Experiment Design for Operations Model Simulation

https://github.com/EnnengYang/AdaMerging

공식 코드

AdaMerging: Adaptive Model Merging for Multi-Task Learning

https://github.com/EpiSci/SBL

공식 코드

Autonomous sPOMDP Environment Modeling With Partial Model Exploitation

https://github.com/FWen/mcme

공식 코드

Revisiting Robust Model Fitting Using Truncated Loss

https://github.com/FarnooshHeidari/CompletionDetection

공식 코드

Action Completion: A Temporal Model for Moment Detection

https://github.com/Feelx234/pyRDMM

공식 코드

Redescription Model Mining

https://github.com/FeiLiu36/LLM4MOEA

공식 코드

Large Language Model for Multi-objective Evolutionary Optimization

https://github.com/Fengdalu/learn-an-effective-lip-reading-model-without-pains

공식 코드

Learn an Effective Lip Reading Model without Pains

https://github.com/FengheTan9/Multi-Level-Global-Context-Cross-Consistency

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Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model

https://github.com/Flitternie/FMProgramming

공식 코드

Resource-efficient Inference with Foundation Model Programs

https://github.com/GDPlumb/MAPLE

공식 코드

Model Agnostic Supervised Local Explanations

https://github.com/Gandor26/covid-open

공식 코드

Inter-Series Attention Model for COVID-19 Forecasting

https://github.com/Ghadjeres/DeepBach

공식 코드

DeepBach: a Steerable Model for Bach Chorales Generation

https://github.com/GradOpt/E3

공식 코드

Efficient and Effective Model Extraction

https://github.com/Guang000/Awesome-Dataset-Distillation

공식 코드

Generative Dataset Distillation Based on Diffusion Model

https://github.com/HAL-42/FMA-WSSS

공식 코드

Foundation Model Assisted Weakly Supervised Semantic Segmentation

https://github.com/HC-Guo/Owl

공식 코드

OWL: A Large Language Model for IT Operations

https://github.com/HE-diffusion/HE-diffusion

공식 코드

Privacy-Preserving Diffusion Model Using Homomorphic Encryption

https://github.com/HanGyojin/RLB-MI

공식 코드

Reinforcement Learning-Based Black-Box Model Inversion Attacks

https://github.com/HanNight/RE-T5

공식 코드

Retrieval Enhanced Model for Commonsense Generation

https://github.com/HazyResearch/mandoline

공식 코드

Mandoline: Model Evaluation under Distribution Shift

https://github.com/Hi-ZenanXu/Syntax-Enhanced_Pre-trained_Model

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Syntax-Enhanced Pre-trained Model

https://github.com/HiLab-git/ACELoss

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Learning Euler's Elastica Model for Medical Image Segmentation

https://github.com/HomeroRR/rmm

공식 코드

RMM: A Recursive Mental Model for Dialog Navigation

https://github.com/Hxxxz0/RMDM

공식 코드

RMDM: Radio Map Diffusion Model with Physics Informed

https://github.com/IBCNServices/GENESIM

공식 코드

GENESIM: genetic extraction of a single, interpretable model

https://github.com/IBM/KL-fusion

공식 코드

Model Fusion with Kullback--Leibler Divergence

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