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

https://github.com/chenxiliu-hnu/timecma

Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/chrisqqq123/FA-Dist-EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/christabella/bruno

BRUNO: A Deep Recurrent Model for Exchangeable Data

https://github.com/christiansafka/img2vec

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/christopher-beckham/annotated-conditional-diffusion

Conditional Diffusion Probabilistic Model for Speech Enhancement

https://github.com/chunhuililili/mt_dnn

A Hybrid Neural Network Model for Commonsense Reasoning

https://github.com/ckyrkou/EmergencyNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/classner/generating_people

A Generative Model of People in Clothing

https://github.com/cleverhans-lab/model-extraction-iclr

Data-Free Model Extraction

https://github.com/cmougan/WRI_WellBeing_Data_Layer

The Mythos of Model Interpretability

https://github.com/cnguyen10/few_shot_meta_learning

Probabilistic Model-Agnostic Meta-Learning

https://github.com/code-implementation1/Code3/tree/main/efficientnet-b0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/code-implementation1/Code6/tree/main/OctSqueeze

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

https://github.com/codegoat24/unifiedreward

Unified Reward Model for Multimodal Understanding and Generation

https://github.com/copenlu/multilingual-typology-probing

A Latent-Variable Model for Intrinsic Probing

https://github.com/coreyoconnor/tensorderp

WaveNet: A Generative Model for Raw Audio

https://github.com/cosmoquester/2021-dialogue-summary-competition

A Deep Reinforced Model for Abstractive Summarization

https://github.com/cspoh/IRDM2017

Match-Tensor: a Deep Relevance Model for Search

https://github.com/csse-uoft/scroll

Extracting Impact Model Narratives from Social Services' Text

https://github.com/cylynx/verifyml-reports

Model Cards for Model Reporting

https://github.com/cyprienruffino/CTCModel

CTCModel: a Keras Model for Connectionist Temporal Classification

https://github.com/daineto/VSLAM

Action Model Learning with Guarantees

https://github.com/danfenghong/IEEE_TPAMI_SpectralGPT

SpectralGPT: Spectral Remote Sensing Foundation Model

https://github.com/danielpatrickhug/Research_Paper_Parser

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/danielwillemsen/PendulumDemo

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/danini/affine-correspondences-for-camera-geometry

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm

https://github.com/danini/progressive-x

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm

https://github.com/darya-baranovskaya/keyword_spotting

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/datphamvn/hsevo

Algorithm Evolution Using Large Language Model

https://github.com/davidandym/task-conflict-in-text-to-text-learners

An Empirical Model of Large-Batch Training

https://github.com/davidkim205/komt

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

https://github.com/deep-over/film

FinBERT: A Pretrained Language Model for Financial Communications

https://github.com/deepmodeling/Uni-Mol

Uni-Mol2: Exploring Molecular Pretraining Model at Scale

https://github.com/deepset-ai/haystack

REALM: Retrieval-Augmented Language Model Pre-Training

https://github.com/deepxuan/dn-dp

Improving Diffusion Model Efficiency Through Patching

https://github.com/denizyuret/playground

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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