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

https://github.com/deterministic-algorithms-lab/Large-XLM

Cross-lingual Language Model Pretraining

https://github.com/dfcf93/MSMARCO

An Updated Duet Model for Passage Re-ranking

https://github.com/dgedon/DeepSSM_SysID

A Recurrent Latent Variable Model for Sequential Data

https://github.com/dig-team/hanna-benchmark-asg

A Temporal Variational Model for Story Generation

https://github.com/digantamisra98/digantamisra98.github.io

Uncovering the Hidden Cost of Model Compression

https://github.com/digirl-agent/digirl

CogAgent: A Visual Language Model for GUI Agents

https://github.com/diogenes0319/FedMD_clean

FedMD: Heterogenous Federated Learning via Model Distillation

https://github.com/dkn16/stylegan2-pytorch

SWAGAN: A Style-based Wavelet-driven Generative Model

https://github.com/dmitrijsk/attentionhtr

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

https://github.com/dmlc/gluon-nlp

A Decomposable Attention Model for Natural Language Inference

https://github.com/dmolitor/bolasso

Bolasso: model consistent Lasso estimation through the bootstrap

https://github.com/dortenenboim314/cyclic-jukebox

Jukebox: A Generative Model for Music

https://github.com/dptech-corp/Uni-Mol

Uni-Mol2: Exploring Molecular Pretraining Model at Scale

https://github.com/dssg/solveforgood-wri

The Mythos of Model Interpretability

https://github.com/dukaPhosphorus/audio-processing

DeepBach: a Steerable Model for Bach Chorales Generation

https://github.com/duxiaoman-di/xuanyuan

Self-QA: Unsupervised Knowledge Guided Language Model Alignment

https://github.com/eac-replication/eac-replication

An Empirical Model of Large-Batch Training

https://github.com/ecnu-cross-innovation-lab/ent

Factorized Neural Transducer for Efficient Language Model Adaptation

https://github.com/edificewang/imageclassification

Fast and Accurate Model Scaling

https://github.com/eifuentes/swae-pytorch

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

https://github.com/eleanorye00/Gamifier

ShapeNet: An Information-Rich 3D Model Repository

https://github.com/eliavmor-tau/DoLMUnderstandFrequentWordsBetter

oLMpics -- On what Language Model Pre-training Captures

https://github.com/elsalmi/qiskit

Jukebox: A Generative Model for Music

https://github.com/emited/VariationalRecurrentNeuralNetwork

A Recurrent Latent Variable Model for Sequential Data

https://github.com/enijkamp/triangle

Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model

https://github.com/ennengyang/surgeryv2

Representation Surgery for Multi-Task Model Merging

https://github.com/epoc88/PFLD_68pts_Pytorch_2020

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/erg0dic/transmon_public

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/eric-mitchell/direct-preference-optimization

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

https://github.com/eric-mitchell/serac

Fast Model Editing at Scale

https://github.com/ermongroup/CalibratedModelBasedRL

Calibrated Model-Based Deep Reinforcement Learning

https://github.com/estebandito22/DeepContentRecommenders

Deep Content-User Embedding Model for Music Recommendation

https://github.com/eunanomist/PKD_BERT

Patient Knowledge Distillation for BERT Model Compression

https://github.com/evgenii-nikishin/omd

Objective Mismatch in Model-based Reinforcement Learning

https://github.com/facebookresearch/ClassyVision

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/facebookresearch/MLQA

Cross-lingual Language Model Pretraining

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