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

https://github.com/facebookresearch/UnsupervisedMT

Cross-lingual Language Model Pretraining

https://github.com/facebookresearch/XLM

Cross-lingual Language Model Pretraining

https://github.com/facebookresearch/doc-storygen-v2

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

https://github.com/facebookresearch/fairscale

ZeRO-Offload: Democratizing Billion-Scale Model Training

https://github.com/facebookresearch/fairseq

A Convolutional Encoder Model for Neural Machine Translation

https://github.com/facebookresearch/fl_partial_personalization

Federated Learning with Partial Model Personalization

https://github.com/fanqiwan/fuseai

Weighted-Reward Preference Optimization for Implicit Model Fusion

https://github.com/fanqiwan/fusellm

Weighted-Reward Preference Optimization for Implicit Model Fusion

https://github.com/farizrahman4u/seq2seq

A Neural Conversational Model

https://github.com/fatma-mohamed-98/Recognising-Textual-Entailment-using-Decomposable-Attention

A Decomposable Attention Model for Natural Language Inference

https://github.com/federicopozzi33/MobileOne-PyTorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/feifeibear/llmspeculativesampling

Accelerating Large Language Model Decoding with Speculative Sampling

https://github.com/feyzaakyurek/XLM-LwLL

Cross-lingual Language Model Pretraining

https://github.com/filaPro/visda2019

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/filipmu/Kaggle-APTOS-2019-Blindness

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/fipelle/replication-hasenzagl-et-al-2020

A Model of the Fed's View on Inflation

https://github.com/floleuerer/fastai_ulmfit

BERTje: A Dutch BERT Model

https://github.com/forest-snow/incremental-coref

Moving on from OntoNotes: Coreference Resolution Model Transfer

https://github.com/franckalain/Tensorflow-Projects-ChatBot

A Neural Conversational Model

https://github.com/frankxwang/dpo-prefix-sharing

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

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

WaveNet: A Generative Model for Raw Audio

https://github.com/fshdnc/enfi-XLM

Cross-lingual Language Model Pretraining

https://github.com/fskong/FT-Classifier-for-Model-Merging

Representation Surgery for Multi-Task Model Merging

https://github.com/fstahlberg/tensor2tensor-usr

Simple Fusion: Return of the Language Model

https://github.com/fuchason/chatbot

A Neural Conversational Model

https://github.com/gair-nlp/prox

YuLan-Mini: An Open Data-efficient Language Model

https://github.com/galdeia/iirsbenchmark

S-LIME: Stabilized-LIME for Model Explanation

https://github.com/gavincaoyuji/NLP

Training Tips for the Transformer Model

https://github.com/georgetown-cset/ai-relevant-papers

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/getalp/disambiguate

FlauBERT: Unsupervised Language Model Pre-training for French

https://github.com/gg-Dema/VBLRL

Model-based Lifelong Reinforcement Learning with Bayesian Exploration

https://github.com/gitAugust/EMPC-Control-of-Snake-Robot

Economic model predictive control for snake robot locomotion

https://github.com/github-luffy/PFLD_68points_Pytorch

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/glakshay/Generating-audio-DL

WaveNet: A Generative Model for Raw Audio

https://github.com/gmum/cwae-pytorch

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

https://github.com/gmum/lcw-generator

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

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