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

https://github.com/uppaal/detox-edit

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

https://github.com/uw-mad-dash/pgt_index

Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/valeoai/VideoActionModel

GenAD: Generalized Predictive Model for Autonomous Driving

https://github.com/vicky-hnk/time-flex

WaveNet: A Generative Model for Raw Audio

https://github.com/vikramnitin9/nnfl

Text-guided Attention Model for Image Captioning

https://github.com/vincentherrmann/pytorch-wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/vincizhu/giffcf

Graph Signal Diffusion Model for Collaborative Filtering

https://github.com/vladthesav/MoldAI

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/vnoves/aectech2019-sketchto3d-backend

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/wangclnlp/deepspeed-chat-extension

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

https://github.com/wangyi111/international-archaeology-ai-challenge

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/wdrink/simplear

Accelerating Large Language Model Decoding with Speculative Sampling

https://github.com/weitunglin/pixmamba

VMamba: Visual State Space Model

https://github.com/weiwang31/icemamba

VMamba: Visual State Space Model

https://github.com/wellecks/llemma_formal2formal

Llemma: An Open Language Model For Mathematics

https://github.com/wenzhe-li/romi

Offline Reinforcement Learning with Reverse Model-based Imagination

https://github.com/wesselb/plum

The Gaussian Process Autoregressive Regression Model (GPAR)

https://github.com/west-gates/GIRP

Global Model Interpretation via Recursive Partitioning

https://github.com/widzemin/audio_project

A neural attention model for speech command recognition

https://github.com/wittawatj/model-comparison-test

Informative Features for Model Comparison

https://github.com/wongongv/mbpo_fork

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/wusaifei/HWCC_image_classification

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/wuziniu/unified_model

A Unified Transferable Model for ML-Enhanced DBMS

https://github.com/wyattlansford/MineRL

MOReL : Model-Based Offline Reinforcement Learning

https://github.com/wzaielamri/unmix

Jukebox: A Generative Model for Music

https://github.com/xcyan/nips16_PTN

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/xiaomingaaa/GNNApp-Papers

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

https://github.com/xih108/Video_Completion

First Order Motion Model for Image Animation

https://github.com/xinjie-q/ldmic

Checkerboard Context Model for Efficient Learned Image Compression

https://github.com/xiuyu0000/vision/blob/main/mindvision/classification/models/backbones/efficientnet.py

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/xslidi/EfficientNets_ddl_apex

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/yahoojapan/yskip

Incremental Skip-gram Model with Negative Sampling

https://github.com/yangletliu/finlora

BloombergGPT: A Large Language Model for Finance

https://github.com/yangyucheng000/Paper-2/tree/main/FedGM-main

FedMD: Heterogenous Federated Learning via Model Distillation

https://github.com/yangyucheng000/Paper-3/tree/main/dir-mindspore-main

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

https://github.com/yaoplusplus/Teacher-Model-fingerprint

Teacher Model Fingerprinting Attacks Against Transfer Learning

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