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

https://github.com/facebookresearch/fastText

공식 코드

Fast Linear Model for Knowledge Graph Embeddings

https://github.com/facebookresearch/glemos

공식 코드

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection

https://github.com/facebookresearch/nasrec

공식 코드

Towards Automated Model Design on Recommender Systems

https://github.com/facebookresearch/omnivore

공식 코드

Omnivore: A Single Model for Many Visual Modalities

https://github.com/facebookresearch/pycls

공식 코드

Fast and Accurate Model Scaling

https://github.com/facebookresearch/shepherd

공식 코드

Shepherd: A Critic for Language Model Generation

https://github.com/facebookresearch/spiritlm

공식 코드

Spirit LM: Interleaved Spoken and Written Language Model

https://github.com/facebookresearch/zerosumeval

공식 코드

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition

https://github.com/fallenshock/SinDDM

공식 코드

SinDDM: A Single Image Denoising Diffusion Model

https://github.com/fangkongx/oim-dc

공식 코드

Online Influence Maximization under Decreasing Cascade Model

https://github.com/fanq15/stable-sam

공식 코드

Stable Segment Anything Model

https://github.com/farinamatteo/qmmf

공식 코드

Quantum Multi-Model Fitting

https://github.com/feiwu77777/Leveraging-Model-Interpretability-and-Stability-to-increase-Model-Robustness

공식 코드

Leveraging Model Interpretability and Stability to increase Model Robustness

https://github.com/fengliu-1/fmrec

공식 코드

Flow Matching based Sequential Recommender Model

https://github.com/fhaer/llm-cmi

공식 코드

Conceptual Model Interpreter for Large Language Models

https://github.com/fietelab/inductive-bias-complexity

공식 코드

Model-agnostic Measure of Generalization Difficulty

https://github.com/flcao/CoFED

공식 코드

Cross-Silo Heterogeneous Model Federated Multitask Learning

https://github.com/flyingpeach/localizedmpcperformance

공식 코드

Global Performance Guarantees for Localized Model Predictive Control

https://github.com/fondress/pdeeppp

공식 코드

A general language model for peptide identification

https://github.com/foroughp/manipulating-and-measuring-model-interpretability

공식 코드

Manipulating and Measuring Model Interpretability

https://github.com/fostiropoulos/stream_benchmark

공식 코드

Batch Model Consolidation: A Multi-Task Model Consolidation Framework

https://github.com/foundation-model-stack/multi-nic-cni

공식 코드

The infrastructure powering IBM's Gen AI model development

https://github.com/frankaging/causal-proxy-model

공식 코드

Causal Proxy Models for Concept-Based Model Explanations

https://github.com/frankkramer-lab/GERNERMED

공식 코드

GERNERMED -- An Open German Medical NER Model

https://github.com/franklear/lime

공식 코드

Language Anisotropic Cross-Lingual Model Editing

https://github.com/fraunhofer-iais/dlplatform/tree/master/DLplatform

공식 코드

Efficient Decentralized Deep Learning by Dynamic Model Averaging

https://github.com/freyjo/differentiable_nmpc

공식 코드

Differentiable Nonlinear Model Predictive Control

https://github.com/fsoft-ai4code/xmainframe

공식 코드

XMainframe: A Large Language Model for Mainframe Modernization

https://github.com/g4v4g4i/ArgABM

공식 코드

An argumentative agent-based model of scientific inquiry

https://github.com/gabi-1337/causal-explanations

공식 코드

Model Explanations via the Axiomatic Causal Lens

https://github.com/gaelpouxmedard/simsbm

공식 코드

Serialized Interacting Mixed Membership Stochastic Block Model

https://github.com/gaoqitong/vlbm

공식 코드

Variational Latent Branching Model for Off-Policy Evaluation

https://github.com/gaoyinfeng/piwm

공식 코드

Dream to Drive with Predictive Individual World Model

https://github.com/gcyzsl/o3-llm-unlearning

공식 코드

On Large Language Model Continual Unlearning

https://github.com/gdaosu/lod2buildingmodel

공식 코드

Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto

https://github.com/generteam/generator

공식 코드

GENERator: A Long-Context Generative Genomic Foundation Model

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