A blazing fast inference solution for text embeddings models

Korean Sentence Embedding Model Performance Benchmark for RAG

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

Port of Facebook's LLaMA model in C/C++

Tiny and powerful JavaScript full-text search engine for browser and Node

Korean corpus repository

Machine learning algorithms in Dart programming language

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

Deskreen turns any device with a web browser to a second screen for your computer

🖥️ macOS status monitoring app written in SwiftUI.

Open Korean NLP Dataset Curation for the Users All Around the Globe

A deep learning library for rust

Universal Apple Keyboard USB Adapter

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…

ML model for stock trend prediction using Python

Jekyll theme based on Grayscale Start Bootstrap theme

Restoring images of damaged paintings using in-painting. Damaged paintings have discolored patches where the paint has faded or fallen off. This project uses image in-painting to fill and restore t…

Deep learning superresolution in pure rust

GAN을 활용한 한글 폰트 제작 프로젝트

Multi-speaker Tacotron in TensorFlow.

Capture, Run OCR, Run Google Translate

Library for fast text representation and classification.

Neural networks module for Redis

Classify paintings based on artistic style using deep learning neural nets

A kernel module to support SSD-to-GPU direct DMA

The Berkeley Document Summarizer is a learning-based, single-document summarization system that extracts source document content, exploits syntactic information to compress it, and uses coreference…

서울시 행정정보 공개 깃허브입니다.(서울 정보소통광장) Github for the Seoul government information disclosure.

Torch implementation of neural style algorithm

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.