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

https://github.com/knowledgetechnologyuhh/EmotionRecognitionBarros

A Deep Neural Model Of Emotion Appraisal

https://github.com/kohjingyu/search-agents

Tree Search for Language Model Agents

https://github.com/konstantinos-p/image_classification_SOTA

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/krish-pinninti/api-ann-python

Understanding Convolutional Neural Networks with A Mathematical Model

https://github.com/kuanzi/Bayesian_quant

Model compression via distillation and quantization

https://github.com/kuldeep7688/BioMedicalBertNer

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/kyegomez/PALM-E

PaLM-E: An Embodied Multimodal Language Model

https://github.com/lakahaga/dc-comix-tts

Mixer-TTS: non-autoregressive, fast and compact text-to-speech model conditioned on language model embeddings

https://github.com/lamalab-org/eval-cards

Model Cards for Model Reporting

https://github.com/lanl-ansi/energy-storage-example

A Flexible Storage Model for Power Network Optimization

https://github.com/lashoun/hanna-benchmark-asg

A Temporal Variational Model for Story Generation

https://github.com/ldulcic/chatbot

A Neural Conversational Model

https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/beit

FlexiViT: One Model for All Patch Sizes

https://github.com/leondz/garak

Assessing Language Model Deployment with Risk Cards

https://github.com/leonguertler/textarena

Evaluating Language Model Agency through Negotiations

https://github.com/leonidasy/fast-vocabulary-transfer

Fast Vocabulary Transfer for Language Model Compression

https://github.com/libowen2121/SNLI-decomposable-attention

A Decomposable Attention Model for Natural Language Inference

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

WaveNet: A Generative Model for Raw Audio

https://github.com/linhduongtuan/Fruits_Vegetables_Classifier_WebApp

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/linkedin/fasttreeshap

A Unified Approach to Interpreting Model Predictions

https://github.com/liuyanguu/SHAPforxgboost

A Unified Approach to Interpreting Model Predictions

https://github.com/liuzhening111/bisic

Checkerboard Context Model for Efficient Learned Image Compression

https://github.com/lmnt-com/diffwave

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/lonnyzhang423/github-hot-hub

DiffusionDet: Diffusion Model for Object Detection

https://github.com/lostoxygen/llm-confidentiality

Detecting Language Model Attacks with Perplexity

https://github.com/lpirola13/flower-recognizer

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/lpirola13/flower_recognizer

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/luchris429/purejaxrl

Model-Free Opponent Shaping

https://github.com/lucidrains/mlm-pytorch

REALM: Retrieval-Augmented Language Model Pre-Training

https://github.com/lucidrains/self-rewarding-lm-pytorch

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

https://github.com/lujunru/sampo

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

https://github.com/lukemelas/EfficientNet-PyTorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/lukexyz/Language-Models

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

https://github.com/luozhilin99/cnnctc

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

https://github.com/lupalab/flowscan

BRUNO: A Deep Recurrent Model for Exchangeable Data

https://github.com/luuchung/cifar-100

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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