Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

GPT-2 based Korean Simple Task-oriented dialogue system.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

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

Container runtimes on macOS (and Linux) with minimal setup

Inference Llama 2 in one file of pure 🔥

Pretrained ELECTRA Model for Korean

BabyAGI UI is designed to make it easier to run and develop with babyagi in a web app, like a ChatGPT.

LINER PDF Chat Tutorial with ChatGPT & Pinecone

You like pytorch? You like micrograd? You love tinygrad! ❤️

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)

🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋

one-click face swap

Overview and tutorial of the LangChain Library

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

Dialogue State Tracking (DST) Papers, Datasets, Resources 🤩

Pretrained Language Models for Korean

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

LLM inference in C/C++

Official repository for "SimpleTOD: A Simple Language Model for Task-Oriented Dialogue"

☁️ Build multimodal AI applications with cloud-native stack

The minimal javascript library to create flowcharts ✨

Application kits that can be developed with Python

Random Network Distillation pytorch

KOAPY 는 키움 OpenAPI 를 Python 에서 쉽게 사용할 수 있도록 만든 라이브러리 패키지 및 툴입니다.

👦 👧 Technical-Interview guidelines written for those who started studying programming. I wish you all the best. 👾