lovit

LLaMA-Factory

Unify Efficient Fine-Tuning of 100+ LLMs

Gemma-EasyLM

Train GEMMA on TPU/GPU! (Codebase for training Gemma-Ko Series)

easy-lm-trainer

🤗 최소한의 세팅으로 LM을 학습하기 위한 샘플코드

ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

allennlp

An open-source NLP research library, built on PyTorch.

codealpaca

polyglot

Polyglot: Large Language Models of Well-balanced Competence in Multi-languages

educational

recommenders

Best Practices on Recommendation Systems

NL-Augmenter

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

kogpt

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

kwnlp-sql-parser

Utilities for parsing Wikipedia MySQL/MariaDB dumps.

pySBD

🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

Transformer_Survey_Study

"A survey of Transformer" paper study 👩🏻‍💻🧑🏻‍💻 KoreaUniv. DSBA Lab

parse

Parse strings using a specification based on the Python format() syntax.

sklearn-random-rotation-ensembles

Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

alphabet-detector

A library to detect what alphabet something is written in.

MT-Reading-List

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

natasha

Solves basic Russian NLP tasks, API for lower level Natasha projects

jumanpp

Juman++ (a Morphological Analyzer Toolkit)

cython_example

Style-Transfer-in-Text

Paper List for Style Transfer in Text

lux

Automatically visualize your pandas dataframe via a single print! 📊 💡

faiss_tips

Some useful tips for faiss

KoELECTRA

Pretrained ELECTRA Model for Korean

n2

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

jejueo

Jejueo Datasets for Machine Translation and Speech Synthesis

kortok

The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)

flask101

깔끔한 파이썬 탄탄한 백엔드 소스코드 정리