mcyph

Dave Morrissey's starred repositories

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 Notebook78500

top-github-repositories-which-everyone-should-look

This repository contains a list of important and useful github repos which a developer, coder, a student should never miss to look at.

MIT41500

quality-prompts

Language:PythonMIT39200

fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

Language:PythonMIT1883300

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

MIT6600

TurkicTTS

A multilingual text-to-speech synthesis system for ten lower-resourced Turkic languages: Azerbaijani, Bashkir, Kazakh, Kyrgyz, Sakha, Tatar, Turkish, Turkmen, Uyghur, and Uzbek.

Language:Python4200

wsd_gloss_bert

Making sense of words sense

Language:Jupyter Notebook100

es-hangul

A modern JavaScript library for handling Hangul characters.

Language:TypeScriptMIT109600

kan-gpt

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

Language:PythonMIT65900

Taiwan-LLM

Traditional Mandarin LLMs for Taiwan

Language:PythonApache-2.0113200

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Language:PythonMIT870800

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Language:PythonMIT1912400

gordicaleksa

GitHub's new feature: repo with the same name as your GitHub name initialized with README.md will show on your landing page!

1200

node-kortype

JS로 한영타변환, 윈도우/맥 한글 변환

Language:TypeScriptMIT300

Most-powerful-NLP-library

Gemini, as capable as GPT-4, provides a free API with limited access. I tested it with the help of prompt engineering and found that it can solve almost any NLP task you want to tackle.

Language:Jupyter Notebook3000