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

https://github.com/Xharlie/ShapenetRender_more_variation

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/Xingyu-Lin/mbpo_pytorch

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/XueFuzhao/SimpleRE

An Embarrassingly Simple Model for Dialogue Relation Extraction

https://github.com/YeongHyeon/ReXNet-TF2

Rethinking Channel Dimensions for Efficient Model Design

https://github.com/Yihao-Sun/pytorch-mopo

MOPO: Model-based Offline Policy Optimization

https://github.com/ZTianle/keras-tcn-solar

WaveNet: A Generative Model for Raw Audio

https://github.com/ZackPashkin/YOLOv3-EfficientNet-EffYolo

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/Zefty/rag-end2end-retriever

REALM: Retrieval-Augmented Language Model Pre-Training

https://github.com/ZhengXinyue/fuck_papers

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

https://github.com/ZhouYuxuanYX/Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting

WaveNet: A Generative Model for Raw Audio

https://github.com/aaamini/SBM-SDP

On semidefinite relaxations for the block model

https://github.com/abhaskumarsinha/KMT

First Order Motion Model for Image Animation

https://github.com/abhuse/pytorch-efficientnet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/adityaagrawal7/speech-to-text-wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/adverML/GuidedDiffusionPur

Guided Diffusion Model for Adversarial Purification

https://github.com/agosiewska/EPP-meta-measure

Interpretable Meta-Measure for Model Performance

https://github.com/ahban/GMMSP

Superpixel Segmentation Using Gaussian Mixture Model

https://github.com/ahmed-alllam/Direct-Preference-Optimization

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

https://github.com/ahmetustun/udapter

75 Languages, 1 Model: Parsing Universal Dependencies Universally

https://github.com/ai-forever/ru-gpts

MOROCCO: Model Resource Comparison Framework

https://github.com/ai-hci/ai-hci.github.io

Model Cards for Model Reporting

https://github.com/ai4co/llm-as-hh

Algorithm Evolution Using Large Language Model

https://github.com/ai4co/reevo

Algorithm Evolution Using Large Language Model

https://github.com/ajhamdi/semantic-robustness

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/akterskii/rlpyt

An Empirical Model of Large-Batch Training

https://github.com/alanpeng0897/defend_mi

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

https://github.com/albarji/neurowriter

WaveNet: A Generative Model for Raw Audio

https://github.com/albert100121/MLVR-Pytorch

The Visual Centrifuge: Model-Free Layered Video Representations

https://github.com/albertfgu/diffwave-sashimi

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/alepintaudi/music-generation

DeepBach: a Steerable Model for Bach Chorales Generation

https://github.com/alexanderbrenning/spdiag

Spatial machine-learning model diagnostics: a model-agnostic distance-based approach

https://github.com/alexis-jacq/Pytorch-ChatBot

A Neural Conversational Model

https://github.com/alexsax/testing_rlpyt

An Empirical Model of Large-Batch Training

https://github.com/alexwitt2399/rexnet

Rethinking Channel Dimensions for Efficient Model Design

https://github.com/ali-vilab/VGen

VideoLCM: Video Latent Consistency Model

https://github.com/ali-vilab/i2vgen-xl

VideoLCM: Video Latent Consistency Model

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