hahongchul Goto Github PK

ai-poet

ai-town

A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

crewai-examples

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

finrl-meta

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

flowise

Drag & drop UI to build your customized LLM flow

gptrpg

A demo of an GPT-based agent existing in an RPG-like environment

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

hahongchul.github.io

Homepage using Github

hwp.js

Open source hwp viewer and parser library powered by web technology

interactive-llm-powered-npcs

Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮🤖🚀

largelanguagemodelsprojects

Large Language Model Projects

llm_convert_receipt_image-to-json_or_xml

Finetune LLM to convert an invoice or receipt image to receipt XML or JSON object.

monster-chat

node-hwp

A HWP library for Node.js

replicate-llm-training

Fine tune an LLM using Replicate

rltrader

파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문 (개정판)

scribeocr

Web interface for recognizing text, proofreading OCR, and creating fully-digitized documents.

snipping-ocr

A simple Snipping tool for Windows with OCR capabilities

sparrow

Data extraction from documents with ML

stock-trading-environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

tesseract-tutorial

For repository for the tutorial found at: https://www.youtube.com/watch?v=TpD76k2HYms&t=161s

tesseract-wasm

JS/WebAssembly build of the Tesseract OCR engine for use in browsers and Node

tesseract.js

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

trl

Train transformer language models with reinforcement learning.

webgpt

Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~1500 lines of vanilla Javascript.