Vietnam

33 progetti da Vietnam · 173.9k stelle in totale

Vietnam conta 33 progetti di IA open source monitorati, tra cui ui-ux-pro-max-skill, machine-learning-for-software-engineers, Awesome-Embedded. L'ecosistema tende verso antigravity, speech-synthesis, 3d-object-detection. La posizione e dichiarata dai proprietari nel loro profilo GitHub.

Un'organizzazione dichiara la sua sede, non dove è stato scritto un progetto.

⭐ Piu stellati

ui-ux-pro-max-skill

An AI SKILL that provide design intelligence for building professional UI/UX multiple platforms

★ 107.8k

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

★ 28.8k

Awesome-Embedded

A curated list of awesome embedded programming.

★ 8.9k

goclaw

GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native…

★ 3.5k

anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3),…

★ 3.4k

VieNeu-TTS

Vietnamese TTS with instant voice cloning • On-device • Real-time CPU inference • 24kHz audio quality…

★ 2.2k

underthesea

Underthesea - AI Assistant

★ 1.8k

read-aloud

An awesome browser extension that reads aloud webpage content with one click

★ 1.7k · GitHub ↗

youwee

A beautiful, cross-platform downloader for YouTube, TikTok, Instagram, and 1800+ sites (yt-dlp GUI) with AI…

★ 1.2k · GitHub ↗

proxypal

A desktop app that lets you use your AI subscriptions (Claude, ChatGPT, Gemini, GitHub Copilot) with any…

★ 1.2k · GitHub ↗

SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

★ 1.1k · GitHub ↗

llm-sandbox

Lightweight and portable LLM sandbox runtime (code interpreter) Python library.

★ 1.1k · GitHub ↗

arkon

Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts,…

★ 1.1k · GitHub ↗

local-talking-llm

A talking LLM that runs on your own computer without needing the internet.

★ 878 · GitHub ↗

PhoBERT

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

★ 793 · GitHub ↗

PhoGPT

PhoGPT: Generative Pre-training for Vietnamese (2023)

★ 793 · GitHub ↗

HybridNets

HybridNets: End-to-End Perception Network

★ 680 · GitHub ↗

rag-chatbot

Chat with multiple PDFs locally

★ 672 · GitHub ↗

BERTweet

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

★ 609 · GitHub ↗

shipfast

The best free SaaS base for GenAI, LLM, and other AI Services. Ship your next Generative AI startups in days.

★ 548 · GitHub ↗

vixtts-demo

A Vietnamese Voice Cloning Text-to-Speech Model ✨

★ 515 · GitHub ↗

Agent-Skills-4-Vibe-Coding-CLI

★ 504 · GitHub ↗

ChatbotX

The open-source ManyChat alternative, built for AI 🤖

★ 477 · GitHub ↗

img2threejs

Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js…

★ 441 · GitHub ↗

WaveDiff

Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators…

★ 440 · GitHub ↗

CPM

💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

★ 417 · GitHub ↗

local-assistant-examples

Build your own ChatPDF and run it locally

★ 409 · GitHub ↗

human-pose-estimation-opencv

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

★ 384 · GitHub ↗

gemini-web-to-api

✨Reverse-engineered API for Gemini web app. It can be used as a genuine API key from OpenAI, Gemini, and…

★ 370 · GitHub ↗

LFM

Official PyTorch implementation of the paper: Flow Matching in Latent Space

★ 356 · GitHub ↗

mlx-openai-server

A high-performance API server that provides OpenAI-compatible endpoints for MLX models. Developed using…

★ 352 · GitHub ↗

TrafficLab-3D

Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.

★ 315 · GitHub ↗

RTM3D

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for…

★ 302 · GitHub ↗

La posizione proviene dal profilo GitHub di ciascun proprietario del progetto. Circa la metà di loro ne dichiara uno — questa mappa mostra quelli, non l'intero quadro.