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

https://github.com/sunzeyeah/rlhf

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

https://github.com/swasun/VQ-VAE-Speech

WaveNet: A Generative Model for Raw Audio

https://github.com/symbioticlab/zeus

Reducing Energy Bloat in Large Model Training

https://github.com/tarikdgny/Optical_Coherence_Tomography

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/tatsu-lab/alpaca_farm

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

https://github.com/tatsu432/DR-estimator-OPE-large-action

Diffusion Model in Causal Inference with Unmeasured Confounders

https://github.com/tdunity/fixedjukebox

Jukebox: A Generative Model for Music

https://github.com/tensorflow/model-card-toolkit

Model Cards for Model Reporting

https://github.com/tensorflow/models/tree/master/research/ptn

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/tensorflow/models/tree/master/research/textsum

A Neural Attention Model for Abstractive Sentence Summarization

https://github.com/tetsu9923/scireviewgen

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/tginart/sglang

SGLang: Efficient Execution of Structured Language Model Programs

https://github.com/theamrzaki/text_summurization_abstractive_methods

A Deep Reinforced Model for Abstractive Summarization

https://github.com/theophilee/learner-performance-prediction

A Self-Attentive model for Knowledge Tracing

https://github.com/theophilegervet/learner-performance-prediction

A Self-Attentive model for Knowledge Tracing

https://github.com/thomas-schillaci/SimPLe

Model-Based Reinforcement Learning for Atari

https://github.com/thorwhalen/sla

WaveNet: A Generative Model for Raw Audio

https://github.com/thorwhalen/slang

WaveNet: A Generative Model for Raw Audio

https://github.com/thudm/alignbench

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

https://github.com/thudm/chatglm

GLM-130B: An Open Bilingual Pre-trained Model

https://github.com/thudm/chatglm2-6b

GLM-130B: An Open Bilingual Pre-trained Model

https://github.com/thudm/chatglm3

GLM-130B: An Open Bilingual Pre-trained Model

https://github.com/tianwenzhou/prodehaze

Frequency Compensated Diffusion Model for Real-scene Dehazing

https://github.com/tidedra/vl-rlhf

KTO: Model Alignment as Prospect Theoretic Optimization

https://github.com/titu1994/keras-efficientnets

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/toanbkmt/EfficientnetFruitDetect

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/toru34/rush_emnlp_2015

A Neural Attention Model for Abstractive Sentence Summarization

https://github.com/towhee-io/towhee

Omnivore: A Single Model for Many Visual Modalities

https://github.com/triple7/Keras-WGAN-RGB-128x128

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/tsing-cv/EfficientNet-tensorflow-eager

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/tuggeluk/pycls

Fast and Accurate Model Scaling

https://github.com/typefly/TypeFly

TypeFly: Flying Drones with Large Language Model

https://github.com/ucsd-dsc-arts/dsc160-final-dsc160-final-group19

WaveNet: A Generative Model for Raw Audio

https://github.com/ufal/ST2020

A Bayesian Model for Discovering Typological Implications

https://github.com/ultralytics/yolov5

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/unstable-zeros/data-driven-sls

Data-driven Distributed and Localized Model Predictive Control

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