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

https://github.com/b-carter/overinterpretation

Overinterpretation reveals image classification model pathologies

https://github.com/babelscape/alert

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

https://github.com/bashivanlab/iwisdm

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/basveeling/wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/beartype/plum

The Gaussian Process Autoregressive Regression Model (GPAR)

https://github.com/befelix/safe-exploration

Learning-based Model Predictive Control for Safe Exploration

https://github.com/bencrabbe/npdependency

FlauBERT: Unsupervised Language Model Pre-training for French

https://github.com/benjaminaubin/StructuredPrior_demo

The spiked matrix model with generative priors

https://github.com/benmoseley/simple-wavenet

WaveNet: A Generative Model for Raw Audio

https://github.com/berndpfrommer/basalt-headers

The Double Sphere Camera Model

https://github.com/bgreenwell/fastshap

A Unified Approach to Interpreting Model Predictions

https://github.com/bhavitvyamalik/OCR-using-CRNN

CTCModel: a Keras Model for Connectionist Temporal Classification

https://github.com/bigdata-ustc/Zero-1-to-3

FedJudge: Federated Legal Large Language Model

https://github.com/bitextor/bicleaner-ai

A Decomposable Attention Model for Natural Language Inference

https://github.com/blcunlp/CNLI

A Decomposable Attention Model for Natural Language Inference

https://github.com/bouracha/Gen_Motion

Generative Model-Enhanced Human Motion Prediction

https://github.com/bourrel/French-News-Clustering

CamemBERT: a Tasty French Language Model

https://github.com/bpucla/latent-space-EBM-prior

Learning Latent Space Energy-Based Prior Model

https://github.com/braincog-x/brain-cog

Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning

https://github.com/btekgit/FocusingNeuron-Keras

An Adaptive Locally Connected Neuron Model: Focusing Neuron

https://github.com/buiquangmanhhp1999/age_gender_estimation

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/bwconrad/flexivit

FlexiViT: One Model for All Patch Sizes

https://github.com/bytedance/dplm

DPLM-2: A Multimodal Diffusion Protein Language Model

https://github.com/caio-freitas/GraphARM

Autoregressive Diffusion Model for Graph Generation

https://github.com/callummcdougall/arena_3.0

Discovering Language Model Behaviors with Model-Written Evaluations

https://github.com/canturan10/satellighte

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/caoyujiALgLM/NLP

Training Tips for the Transformer Model

https://github.com/captaindario/dakanji-single-kanji-recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/carla-recourse/CARLA

Learning Model-Agnostic Counterfactual Explanations for Tabular Data

https://github.com/carmilea/carmilea

Automated Capability Discovery via Model Self-Exploration

https://github.com/carperai/openelm

Language Model Crossover: Variation through Few-Shot Prompting

https://github.com/cgebbe/kaggle_pku-autonomous-driving

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/cgpotts/dynasent

Model Cards for Model Reporting

https://github.com/charles9n/bert-sklearn

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/chengguizi/basalt-headers

The Double Sphere Camera Model

https://github.com/chenhongruixuan/mambacd

VMamba: Visual State Space Model

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