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

https://github.com/linfeng93/large-unidet

공식 코드

Universal Object Detection with Large Vision Model

https://github.com/linksoul-ai/llasm

공식 코드

LLaSM: Large Language and Speech Model

https://github.com/lipang/hsigene

공식 코드

HSIGene: A Foundation Model For Hyperspectral Image Generation

https://github.com/lisha-chen/Bayesian-MAML-vs-MAML

공식 코드

Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?

https://github.com/liuqidong07/awesome-llm-enhanced-recommender-systems

공식 코드

Large Language Model Enhanced Recommender Systems: A Survey

https://github.com/liuqidong07/leader-pytorch

공식 코드

Large Language Model Distilling Medication Recommendation Model

https://github.com/liutianlin0121/seislm

공식 코드

SeisLM: a Foundation Model for Seismic Waveforms

https://github.com/liuyvchi/Vicinal-Risk-Rroxy

공식 코드

Assessing Model Generalization in Vicinity

https://github.com/lixiaowen-xw/diffueraser

공식 코드

DiffuEraser: A Diffusion Model for Video Inpainting

https://github.com/llnl/deltauq

공식 코드

Single Model Uncertainty Estimation via Stochastic Data Centering

https://github.com/lmeraser/lmeraser

공식 코드

LMEraser: Large Model Unlearning through Adaptive Prompt Tuning

https://github.com/longshaocong/dgmamba

공식 코드

DGMamba: Domain Generalization via Generalized State Space Model

https://github.com/luca-scharr/cupcurriculum

공식 코드

Cup Curriculum: Curriculum Learning on Model Capacity

https://github.com/luca-varotto/vsn-with-ae

공식 코드

Visual Sensor Network Stimulation Model Identification via Gaussian Mixture Model and Deep Embedded Features

https://github.com/luchris429/model-free-opponent-shaping

공식 코드

Model-Free Opponent Shaping

https://github.com/luckybian/isy5001

공식 코드

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model

https://github.com/luckybird1994/ASAM

공식 코드

ASAM: Boosting Segment Anything Model with Adversarial Tuning

https://github.com/luka-group/monopara

공식 코드

Monotonic Paraphrasing Improves Generalization of Language Model Prompting

https://github.com/luminolx/scalenet

공식 코드

ScaleNet: Searching for the Model to Scale

https://github.com/luodian/otter

공식 코드

OtterHD: A High-Resolution Multi-modality Model

https://github.com/lutao2021/DiMeR

공식 코드

DiMeR: Disentangled Mesh Reconstruction Model

https://github.com/lux0926/asprm

공식 코드

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

https://github.com/lviano/robust_gaifo

공식 코드

Robust Learning from Observation with Model Misspecification

https://github.com/lxcnju/mrtf

공식 코드

MrTF: Model Refinery for Transductive Federated Learning

https://github.com/lxq1000/faceptor

공식 코드

Faceptor: A Generalist Model for Face Perception

https://github.com/lywang12/cuti-domain

공식 코드

Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection

https://github.com/lzw-lzw/groundinggpt

공식 코드

GroundingGPT:Language Enhanced Multi-modal Grounding Model

https://github.com/lzw-lzw/lego

공식 코드

GroundingGPT:Language Enhanced Multi-modal Grounding Model

https://github.com/machelreid/editpro

공식 코드

Learning to Model Editing Processes

https://github.com/machine-intelligence-laboratory/OptimalNumberOfTopics

공식 코드

Iterative Improvement of an Additively Regularized Topic Model

https://github.com/madrylab/context-cite

공식 코드

ContextCite: Attributing Model Generation to Context

https://github.com/madrylab/missingness

공식 코드

Missingness Bias in Model Debugging

https://github.com/madrylab/modelcomponents

공식 코드

Decomposing and Editing Predictions by Modeling Model Computation

https://github.com/madrylab/trak

공식 코드

TRAK: Attributing Model Behavior at Scale

https://github.com/magic-ai4med/mmedlm

공식 코드

Towards Building Multilingual Language Model for Medicine

https://github.com/magics-lab/sparsemodernhopfield

공식 코드

On Sparse Modern Hopfield Model

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