South Korea

94 projets originaires de South Korea · 403.1k étoiles au total

72 de comptes personnels22 d'organisations

South Korea compte 94 projets d'IA open source suivis, dont oh-my-openagent, oh-my-claudecode, pytorch-tutorial. L'écosystème penche vers speech-synthesis, dynamixel, robotis. La localisation est déclarée par les propriétaires sur leur profil GitHub.

Une organisation déclare son siège social, pas le lieu où un projet a été écrit.

🧬 Familles ADN les plus présentes
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Les plus étoilés
oh-my-openagent
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For…
★ 66.8k
oh-my-claudecode
Teams-first Multi-agent orchestration for Claude Code
★ 38.2k
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
★ 32.4k
oh-my-codex
OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
★ 32.3k
opendataloader-pdf
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
★ 28k
awesome-deep-learning-papers
The most cited deep learning papers
★ 26.2k
omlx
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu…
★ 18.3k
leaked-system-prompts
Collection of leaked system prompts
★ 14.9k
supertonic
Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
★ 13.5k
ChatGPT_DAN
ChatGPT DAN, Jailbreaks prompt
★ 12.2k
deep_learning_object_detection
A paper list of object detection using deep learning.
★ 11.4k
voice-pro
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning…
★ 11.3k
opencodex
Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek,…
★ 5.7k
Decepticon
Autonomous Hacking Agent for Red Team
★ 4.9k
tokscale
🛰️ Track token usage across AI coding agents from your terminal. 🏅 Global leaderboard with…
★ 4.7k
claude-devtools
The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and…
★ 3.8k
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
★ 3.7k
abtop
Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI sessions, tokens, context window, …
★ 3.4k
nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
★ 3.3k
lazycodex
The one and only agent harness for complex codebases. Project memory, planning, execution, and verified…
★ 3k
DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
★ 2.9k
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
★ 2.9k
Whisper-WebUI
A Web UI for easy subtitle using whisper model.
★ 2.8k
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks]
★ 2.2k
nestia
NestJS Helper + AI Chatbot Development
★ 2.2k
TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를…
★ 2.1k
turtlebot3
ROS packages for Turtlebot3
★ 2k
RAGHub
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources.…
★ 2k
Qwen-VL-Series-Finetune
An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.
★ 1.9k
REPA
[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You…
★ 1.7k
awesome-llm-security
A curation of awesome tools, documents and projects about LLM Security.
★ 1.7k
distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
★ 1.6k
fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
★ 1.6k
kordoc
모두 파싱해버리겠다 — HWP·HWPX·PDF·Office 문서를 Markdown으로. 양식 자동 채우기와…
★ 1.6k
autobe
AI Vibe Coding Agent of TS backend server, enhanced by compiler skills, generating 100% working code
★ 1.4k
conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition"…
★ 1.1k
agentica
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
★ 1k
kogpt
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
★ 1k
mpc_ros
Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS
★ 971
GenAI_LLM_timeline
ChatGPT, GenerativeAI and LLMs Timeline
★ 953
malnyun_faces
침착한 생성모델 학습기
★ 902
VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our…
★ 869
domain-transfer-network
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
★ 861
OpenSwarm
OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear…
★ 830
claude-forge
Supercharge Claude Code with 11 AI agents, 36 commands & 15 skills — the claude-code plugin framework…
★ 793
InSPyReNet
Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object…
★ 778
pysc2-examples
StarCraft II - pysc2 Deep Reinforcement Learning Examples
★ 756
JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
★ 747
ChosunTruck
Euro Truck Simulator 2 autonomous driving solution
★ 740
genz-icp
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
★ 696
Transformer-TTS
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
★ 692
Versatile-OCR-Program
Multi-modal OCR pipeline optimized for ML training (text, figure, math, tables, diagrams)
★ 677
RosettaStone
Hearthstone simulator using C++ with some reinforcement learning
★ 670
SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
★ 655
open_manipulator
AI Manipulator and Open Manipulator
★ 647
kospeech
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
★ 637
KoELECTRA
Pretrained ELECTRA Model for Korean
★ 637
BetterOCR
🔍 Better text detection by combining multiple OCR engines (EasyOCR, Tesseract, and Pororo) with 🧠 LLM.
★ 636
pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
★ 635
ima2-gen
Minimal CLI + web UI for OpenAI GPT Image 2 generation. Dual auth: API Key (paid) or OAuth via ChatGPT…
★ 620

La localisation provient du profil GitHub de chaque propriétaire. Environ la moitié la renseignent : cette carte montre ceux-là, pas l'ensemble.