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Sejin Jeong's Projects

code-test-study icon code-test-study

์ฝ”๋”ฉ ํ…Œ์ŠคํŠธ ๊ด€๋ จ ๊ธฐ์ถœ๋ฌธํ•ญ์„ ํ’€์–ด๋ณด๊ณ  ์†Œ์Šค์ฝ”๋“œ ๋ฐ ์„ค๋ช…์„ ์—…๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค. (๋ฌธ์ œ ์ถ”์ฒœ์€ Discussions์— ๋“ค์–ด๊ฐ€์…”์„œ ์ž์œ ๋กญ๊ฒŒ ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.)

dpr icon dpr

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

kss icon kss

Kss: A Toolkit for Korean sentence segmentation

llama icon llama

Inference code for Llama models

machine-learning icon machine-learning

์ตœ์ ํ™”๋ก , ๋จธ์‹ ๋Ÿฌ๋‹ ๊ณต๋ถ€ํ•œ ์ €์žฅ์†Œ

neural-networks-from-scratch icon neural-networks-from-scratch

The Jupyter Notebook adaption of โ€œNeural Networks from Scratch in Pythonโ€ by Harrison and Daniel, crafted for utilization as teaching resources in the graduate course titled โ€œDeep Learningโ€, offered during the Spring 2024 semester at Jeonbuk National University, by Minh-Chien Trinh.

prophetnet icon prophetnet

A research project for natural language generation, containing the official implementations by MSRA NLC team.

self-rag icon 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 icon selfcheckgpt

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

speech_recognition icon speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

tensorflow-nlp-tutorial icon tensorflow-nlp-tutorial

tensorflow๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ…์ŠคํŠธ ์ „์ฒ˜๋ฆฌ๋ถ€ํ„ฐ, Topic Models, BERT, GPT์™€ ๊ฐ™์€ ์ตœ์‹  ๋ชจ๋ธ์˜ ๋‹ค์šด์ŠคํŠธ๋ฆผ ํƒœ์Šคํฌ๋“ค์„ ์ •๋ฆฌํ•œ Deep Learning NLP ์ €์žฅ์†Œ์ž…๋‹ˆ๋‹ค.

transformers icon transformers

๐Ÿค— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

truthfulqa icon truthfulqa

TruthfulQA: Measuring How Models Imitate Human Falsehoods

truthx icon truthx

TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

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