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

https://github.com/huulinhcvp/chatBot

A Neural Conversational Model

https://github.com/huynhtuan17ti/AI4VN-Hackathon2020

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/huzpsb/EffTransfer

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/hyang0129/foodclassapp

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/ialifinaritra/text_summarization

FlauBERT: Unsupervised Language Model Pre-training for French

https://github.com/iamilyasedunov/key_word_spotting

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/iamyuanchung/Autoregressive-Predictive-Coding

An Unsupervised Autoregressive Model for Speech Representation Learning

https://github.com/iamyuanchung/VQ-APC

An Unsupervised Autoregressive Model for Speech Representation Learning

https://github.com/iancovert/shapley-regression

A Unified Approach to Interpreting Model Predictions

https://github.com/ibab/tensorflow-wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/icip-cas/Word-Deed-Consistency-Test

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

https://github.com/idiap/g2g-transformer

75 Languages, 1 Model: Parsing Universal Dependencies Universally

https://github.com/imagination-research/lbt

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

https://github.com/imdatsolak/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/intel-isl/MiDaS

LDM3D: Latent Diffusion Model for 3D

https://github.com/internlm/xtuner

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

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

Jukebox: A Generative Model for Music

https://github.com/ipieter/universal-distillation

Masked Language Model Scoring

https://github.com/isaachaw/GrabCarRecognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/isadrtdinov/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/isl-org/MiDaS

LDM3D: Latent Diffusion Model for 3D

https://github.com/issam9/finetuning-bert-models-for-arabic-dialect-detection

AraBERT: Transformer-based Model for Arabic Language Understanding

https://github.com/ivisonadam/ABM_callibration

Agent-Based Model Calibration using Machine Learning Surrogates

https://github.com/jackaduma/ChatGLM-LoRA-RLHF-PyTorch

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

https://github.com/jacksonwuxs/usablexai_llm

Studying Large Language Model Generalization with Influence Functions

https://github.com/jacopotagliabue/metaflow-intent-prediction

DAG Card is the new Model Card

https://github.com/jacopotagliabue/recs-at-resonable-scale

DAG Card is the new Model Card

https://github.com/jaechanglim/GGM

Scaffold-based molecular design using graph generative model

https://github.com/jaesik817/bmaml

Bayesian Model-Agnostic Meta-Learning

https://github.com/jaesik817/bmaml_rl

Bayesian Model-Agnostic Meta-Learning

https://github.com/jakartaresearch/receipt-ocr

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

https://github.com/jaketae/mlp-mixer

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/james77777778/keras-image-models

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/jameshorine/fastFeatures

Bolasso: model consistent Lasso estimation through the bootstrap

https://github.com/jason90330/EdgeFinal

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/jdxyw/deepKT

A Self-Attentive model for Knowledge Tracing

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