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

https://github.com/gomezzz/MSMatch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/gomezzz/distmsmatch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/google-research/cad-estate

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/google-research/electra

Masked Language Model Scoring

https://github.com/google-research/google-research/tree/master/kws_streaming

A neural attention model for speech command recognition

https://github.com/goutham7r/synth-action-seq

Synthesizing Action Sequences for Modifying Model Decisions

https://github.com/gouthamvgk/coreml_conversion_hub

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/gpapamak/distilling_model_knowledge

Distilling Model Knowledge

https://github.com/grace9994/comosvc

CoMoSVC: Consistency Model-based Singing Voice Conversion

https://github.com/hackobi/AI-based-chatbot

A Neural Conversational Model

https://github.com/hahnyuan/llmviewer

LLM Inference Unveiled: Survey and Roofline Model Insights

https://github.com/hal-314/fastai-batch-size-finder

An Empirical Model of Large-Batch Training

https://github.com/hamed-ahangari/Separation-Index-of-convolutional-layers-in-EfficientNet-B0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/hamidreza-dastmalchi/3dd-tta

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/hamil168/Chatbots

A Neural Conversational Model

https://github.com/harvard-edge/ml-sensors

Model Cards for Model Reporting

https://github.com/harvardnlp/decomp-attn

A Decomposable Attention Model for Natural Language Inference

https://github.com/hbaflast/bert-sentiment-analysis-pytorch

CamemBERT: a Tasty French Language Model

https://github.com/hbaflast/bert-sentiment-analysis-tensorflow

CamemBERT: a Tasty French Language Model

https://github.com/hetankevin/mdpmix

Model-Free and Model-Based Policy Evaluation when Causality is Uncertain

https://github.com/hiejulia/data-mining

A Neural Conversational Model

https://github.com/hoangcuongnguyen2001/scibert-for-technique-classification

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/holarissun/rewardmodelingbeyondbradleyterry

Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs

https://github.com/hongyuanyu/span

VideoMamba: State Space Model for Efficient Video Understanding

https://github.com/hooshvare/parsbert-ner

ParsBERT: Transformer-based Model for Persian Language Understanding

https://github.com/houstonsantos/CassavaLeafDisease

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/httttttt/ResNetAtentionBiLSTM

A neural attention model for speech command recognition

https://github.com/huanranchen/AdversarialAttacks/tree/main/experiments/DiffusionClassifier

Robust Classification via a Single Diffusion Model

https://github.com/huanranchen/CommonWeaknessDetection

Rethinking Model Ensemble in Transfer-based Adversarial Attacks

https://github.com/huckiyang/QuantumSpeech-QCNN

A neural attention model for speech command recognition

https://github.com/huckiyang/speech_quantum_dl

A neural attention model for speech command recognition

https://github.com/huggingface/block_movement_pruning

Training with Quantization Noise for Extreme Model Compression

https://github.com/huggingface/trl

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

https://github.com/hugorichard/FastSRM

Fast shared response model for fMRI data

https://github.com/huiwy/reflection-on-trees

Reasoning with Language Model is Planning with World Model

https://github.com/hunto/localmamba

VMamba: Visual State Space Model

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