JEONGSEJIN

JEONGSEJIN's Stars

• huggingface/transformers

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

  Language:Python142k1.1k16.9k28.5k

• meta-llama/llama

  Inference code for Llama models

  Language:Python58k5321.1k9.7k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python28.6k2442883.3k

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k5421104.2k

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook4.3k631041.3k

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook2.2k24397264

• teddylee777/langchain-kr

  LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

  Language:Jupyter Notebook1.6k3712479

• zjunlp/KnowledgeEditingPapers

  Must-read Papers on Knowledge Editing for Large Language Models.

  1k27871

• ttengwang/Awesome_Prompting_Papers_in_Computer_Vision

  A curated list of prompt-based paper in computer vision and vision-language learning.

  91433672

• danqi/acl2020-openqa-tutorial

  ACL2020 Tutorial: Open-Domain Question Answering

  83431285

• sylinrl/TruthfulQA

  TruthfulQA: Measuring How Models Imitate Human Falsehoods

  Language:Jupyter Notebook70081780

• sooftware/kospeech

  Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

  Language:Python61720135191

• likenneth/honest_llama

  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

  Language:Python51493941

• voidism/DoLa

  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

  Language:Python47651858

• Dev-Gaju/NNFS-book-with-Implementation

  Book and code where describe each and every topic of neural network from scratch.

  Language:Python41760131

• jagilley/fact-checker

  Fact-checking LLM outputs with self-ask

  Language:Jupyter Notebook2995240

• facebookresearch/SpinQuant

  Code repo for the paper "SpinQuant LLM quantization with learned rotations"

  Language:Python24173136

• pprp/Awesome-LLM-Quantization

  Awesome list for LLM quantization

  Language:Python1908012

• davidkim205/nox

  Efficient fine-tuning for ko-llm models

  Language:Python1842123

• rickiepark/nlp-with-transformers

  <트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.

  Language:Jupyter Notebook1402392

• seominjoon/qrn

  Query-Reduction Networks (QRN)

  Language:Python137101130

• Huffon/factsumm

  FactSumm: Factual Consistency Scorer for Abstractive Summarization

  Language:Python11022210

• LG-NLP/KorWikiTableQuestions

  This repo is for Korean wiki table question answering datasets described in the paper of Korean-Specific Dataset for Table Question Answering

  91443

• ahmed-alllam/Direct-Preference-Optimization

  Direct Preference Optimization from scratch in PyTorch

  Language:Python891110

• javyduck/KnowHalu

  Language:Python46204

• davidkim205/kollm_evaluation

  자체 구축한 한국어 평가 데이터셋을 이용한 한국어 모델 평가

  Language:Python31123

• YouTaekJung/dev-collection

  북마크 글모음입니다

  20206

• Marker-Inc-Korea/Korean-OpenOrca

  OpenOrca-KO dataset을 활용하여 llama2를 fine-tuning한 Korean-OpenOrca

  19230

• qqplot/dcpmi

  [NAACL24] Official Implementation of Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information

  Language:Python7103

• JBNU-VL/AI-Advanced-Course

  Language:Jupyter Notebook3202