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

https://github.com/preddy5/A-Deep-Generative-Model-for-Graph-Layout

A Deep Generative Model for Graph Layout

https://github.com/princeton-nlp/unintentional-unalignment

Discovering Language Model Behaviors with Model-Written Evaluations

https://github.com/princetonlips/vitruvion

Vitruvion: A Generative Model of Parametric CAD Sketches

https://github.com/pshashk/seesaw-facenet

AirFace: Lightweight and Efficient Model for Face Recognition

https://github.com/pwc-1/Paper-8/tree/main/camembert

CamemBERT: a Tasty French Language Model

https://github.com/pwc-1/Paper-9/tree/main/4/Block_Model

Block Model Guided Unsupervised Feature Selection

https://github.com/pwc-1/Paper-9/tree/main/5/wavlm

WavLM model ensemble for audio deepfake detection

https://github.com/pwc-1/Paper-9/tree/main/jamba

Jamba: A Hybrid Transformer-Mamba Language Model

https://github.com/pwc-1/Paper-9/tree/main/lxmert

LXMERT Model Compression for Visual Question Answering

https://github.com/pytorch/captum

A Unified Approach to Interpreting Model Predictions

https://github.com/pytorch/vision

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/pytorchbearer/torchbearer

Torchbearer: A Model Fitting Library for PyTorch

https://github.com/qubvel/efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/r9y9/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/rajneeshaggarwal/google-efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/ramanans1/plan2explore

Model-Based Active Exploration

https://github.com/rampage644/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/ran-weii/objective_mismatch_papers

Objective Mismatch in Model-based Reinforcement Learning

https://github.com/randomrandom/deep-atrous-cnn-sentiment

WaveNet: A Generative Model for Raw Audio

https://github.com/ravi02512/efficientdet-keras

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/ravidziv/dual_IB

CEB Improves Model Robustness

https://github.com/ray075hl/Bi-Model-Intent-And-Slot

A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

https://github.com/raytrun/mamba-clip

VMamba: Visual State Space Model

https://github.com/raywang335/l2rclip

CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

https://github.com/reml-group/deliberation-on-priors

KTO: Model Alignment as Prospect Theoretic Optimization

https://github.com/renyuanL/ry-Speech-commands

A neural attention model for speech command recognition

https://github.com/revsic/Rewriting-A-Deep-Generative-Models

Rewriting a Deep Generative Model

https://github.com/revsic/jax-variational-diffwave

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/revsic/tf-diffwave

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/revsic/torch-diffusion-wavegan

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/rewardreports/reward-reports

Model Cards for Model Reporting

https://github.com/reyvaz/pneumothorax_detection

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/reyvaz/steel-defect-segmentation

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/rf5/diffwave-unconditional

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/riflezhang/llava-hound-dpo

Improve Vision Language Model Chain-of-thought Reasoning

https://github.com/rinongal/swagan

SWAGAN: A Style-based Wavelet-driven Generative Model

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.