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Language Modeling

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

https://github.com/gaohuan2015/NLPTool

Multi-Task Deep Neural Networks for Natural Language Understanding

https://github.com/gaopengcuhk/Pretrained-Pix2Seq

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/gaopengcuhk/Stable-Pix2Seq

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/gaopengcuhk/Unofficial-Pix2Seq

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/gargimahale/Speech-Recognition-Using-Tensorflow

Listen, Attend and Spell

https://github.com/gaurav9713/simpleQA_chatbot

End-To-End Memory Networks

https://github.com/gchhablani/multilingual-vqa

VisualBERT: A Simple and Performant Baseline for Vision and Language

https://github.com/gdevos010/Scalable-Softmax

Scalable-Softmax Is Superior for Attention

https://github.com/geekan/metagpt

GameGPT: Multi-agent Collaborative Framework for Game Development

https://github.com/gen3111620/DeepWalk

DeepWalk: Online Learning of Social Representations

https://github.com/genggui001/fine_tuning_bert_for_joint_entity_and_relation_extraction_in_chinese_medical_text

Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text

https://github.com/gentaiscool/end2end-asr-pytorch

Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese

https://github.com/gentopia-ai/gentopia

Augmented Language Models: a Survey

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/ggerganov/llama.cpp

Language Models are Few-Shot Learners

https://github.com/ggml-org/llama.cpp

Language Models are Few-Shot Learners

https://github.com/ghazaleh-mahmoodi/lxmert_compression

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/giannifranchi/NAO_morpho

Neural Architecture Optimization

https://github.com/gitabtion/BertBasedCorrectionModels

Spelling Error Correction with Soft-Masked BERT

https://github.com/gladisor/TextGenerator

Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

https://github.com/glassroom/heinsen_attention

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

https://github.com/glouppe/info8010-deep-learning

Evaluating Large Language Models Trained on Code

https://github.com/gmum/dl-mo-2021

Language Models are Few-Shot Learners

https://github.com/gofortargets/rnng

Recurrent Neural Network Grammars

https://github.com/goldenbili/Bert_Test2

Semi-supervised Sequence Learning

https://github.com/goldenbili/Bert_Test3

Semi-supervised Sequence Learning

https://github.com/goldenbili/bert_lamb_pretrain

Semi-supervised Sequence Learning

https://github.com/gonenhila/codeswitching-lm

Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training

https://github.com/gonzalopezgil/xlstm-ts

xLSTM: Extended Long Short-Term Memory

https://github.com/goodevening13/aquakv

Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

https://github.com/goodluck4s/bert-

Semi-supervised Sequence Learning

https://github.com/goodmike31/pl-asr-bigos-tools

Scaling Synthetic Data Creation with 1,000,000,000 Personas

https://github.com/google-deepmind/scaling_laws_for_routing

Unified Scaling Laws for Routed Language Models

https://github.com/google-deepmind/xquad

On the Cross-lingual Transferability of Monolingual Representations

https://github.com/google-parfait/tensorflow-federated

Federated Learning for Mobile Keyboard Prediction

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