Sejin Jeong's repositories
DataStructure
Data Structure Code By Python
Coding-Practice
Space to improve my coding skills
OneDayOneCoding
1일 1코딩
Code-Test-Study
코딩 테스트 관련 기출문항을 풀어보고 소스코드 및 설명을 업로드합니다. (문제 추천은 Discussions에 들어가셔서 자유롭게 가능합니다.)
DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Fouier-Series
선형대수학
JEONGSEJIN
Main screen
HaluEval
This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
korquad.github.io
Korean wiki QA dataset for MRC
kss
Kss: A Toolkit for Korean sentence segmentation
language
Shared repository for open-sourced projects from the Google AI Language team.
llama
Inference code for Llama models
Machine-Learning
최적화론, 머신러닝 공부한 저장소
neural-networks-from-numpy
The NumPy adaptation of “neural-networks-from-scratch” repository by Minh-Chien Trinh, crafted for Deep Learning Study by Sejin Jeong.
neural-networks-from-scratch
The Jupyter Notebook adaption of “Neural Networks from Scratch in Python” by Harrison and Daniel, crafted for utilization as teaching resources in the graduate course titled “Deep Learning”, offered during the Spring 2024 semester at Jeonbuk National University, by Minh-Chien Trinh.
ProphetNet
A research project for natural language generation, containing the official implementations by MSRA NLC team.
self-rag
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
selfcheckgpt
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
speech_recognition
Speech recognition module for Python, supporting several engines and APIs, online and offline.
summarization
summarization
tensorflow-nlp-tutorial
tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT와 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
TruthX
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space