Sejin Jeong's starred repositories
transformers
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
langchain-kr
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acl2020-openqa-tutorial
ACL2020 Tutorial: Open-Domain Question Answering
KnowledgeEditingPapers
[η₯θ―ηΌθΎ] Must-read Papers on Knowledge Editing for Large Language Models.
TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
honest_llama
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
ACL2022_KnowledgeNLP_Tutorial
Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing
NNFS-book-with-Implementation
Book and code where describe each and every topic of neural network from scratch.
fact-checker
Fact-checking LLM outputs with self-ask
nlp-with-transformers
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KoBERT-NER
NER Task with KoBERT (with Naver NLP Challenge dataset)
Awesome-LLM-Quantization
Awesome list for LLM quantization
kollm_evaluation
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dev-collection
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Korean-OpenOrca
OpenOrca-KO datasetμ νμ©νμ¬ llama2λ₯Ό fine-tuningν Korean-OpenOrca
Direct-Preference-Optimization
Direct Preference Optimization from scratch in PyTorch
2021_IR_opendomainqa
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regression-MLP-by-numpy
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