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

https://github.com/outcastofmusic/quick-nlp

A Neural Conversational Model

https://github.com/outofculture/talk-like-me

WaveNet: A Generative Model for Raw Audio

https://github.com/pablovin/AffectiveMemoryFramework

A Deep Neural Model Of Emotion Appraisal

https://github.com/padlex/trl

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

https://github.com/pair-code/datacardsplaybook

Model Cards for Model Reporting

https://github.com/paperswithcode/model-index

Rethinking Channel Dimensions for Efficient Model Design

https://github.com/pascalbakker/WaveNet-Implementation

WaveNet: A Generative Model for Raw Audio

https://github.com/paulsens/ConvNeur

A Neural Conversational Model

https://github.com/pbhatia243/Neural_Conversation_Models

soc2seq: Social Embedding meets Conversation Model

https://github.com/pbrandl/aNN_Audio

WaveNet: A Generative Model for Raw Audio

https://github.com/petuum/adaptdl

An Empirical Model of Large-Batch Training

https://github.com/peustr/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/pharmolix/openbiomed

MolFM: A Multimodal Molecular Foundation Model

https://github.com/philsyn/diffwave-unconditional

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/philsyn/diffwave-vocoder

DiffWave: A Versatile Diffusion Model for Audio Synthesis

https://github.com/phueb/unmasked

Masked Language Model Scoring

https://github.com/picopicodragon/jukebox

Jukebox: A Generative Model for Music

https://github.com/picopicodragon/jukebox_plain

Jukebox: A Generative Model for Music

https://github.com/pie33000/OpenVLA

OpenVLA: An Open-Source Vision-Language-Action Model

https://github.com/piegu/language-models

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

https://github.com/pierreia/QMCHestonGPU

Derivatives Sensitivities Computation under Heston Model on GPU

https://github.com/pikkaay/efficientnet_gpu

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/piskovskyi/fMRI-VisionMamba

VMamba: Visual State Space Model

https://github.com/pitrack/incremental-coref

Moving on from OntoNotes: Coreference Resolution Model Transfer

https://github.com/plaidml/plaidml

Stripe: Tensor Compilation via the Nested Polyhedral Model

https://github.com/pluu2/SeparationFactor

PixelVAE: A Latent Variable Model for Natural Images

https://github.com/pnnl/projection_ntk

TRAK: Attributing Model Behavior at Scale

https://github.com/pokaxpoka/RAD_state_aug

Benchmarking Model-Based Reinforcement Learning

https://github.com/pokaxpoka/rad_openaigym

Benchmarking Model-Based Reinforcement Learning

https://github.com/polixir/OfflineRL

MOPO: Model-based Offline Policy Optimization

https://github.com/poloclub/webshap

A Unified Approach to Interpreting Model Predictions

https://github.com/pomonam/kronfluence

Studying Large Language Model Generalization with Influence Functions

https://github.com/pprabh2007/temp

Pre-trained Language Model for Biomedical Question Answering

https://github.com/pra-dan/Worth-Reading-ML-Papers

Model compression via distillation and quantization

https://github.com/prakhargoyal106/MelanomaClassification

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/pramodkaushik/np_analysis

Did the Model Understand the Question?

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