Belgium

14 Projekte aus Belgium · 83k Sterne insgesamt

Belgium hat 14 erfasste Open-Source-KI-Projekte, darunter Real-Time-Voice-Cloning, Transformers-Tutorials, automagica. Das Okosystem tendiert zu tensorflow, bert, gpt-2. Der Standort wird von den Eigentumern in ihrem GitHub-Profil angegeben.

Eine Organisation gibt ihren Hauptsitz an, nicht wo ein Projekt geschrieben wurde.

⭐ Meiste Sterne

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

★ 60k

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

★ 11.7k

automagica

AI-powered Smart Robotic Process Automation 🤖

★ 3.1k

stable-diffusion-webui-depthmap-script

High Resolution Depth Maps for Stable Diffusion WebUI

★ 1.9k

tensorflow_object_counting_api

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that…

★ 1.3k · GitHub ↗

raglite

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

★ 1.2k · GitHub ↗

vehicle_counting_tensorflow

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and…

★ 929 · GitHub ↗

power-bi-agentic-development

Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI…

★ 799 · GitHub ↗

google-speech-v2

:speech_balloon: Reverse Engineering Google's Speech To Text API (v2)

★ 469 · GitHub ↗

tsflex

Flexible time series feature extraction & processing

★ 443 · GitHub ↗

Cosys-AirSim

AirSim is a simulator for drones, cars and more, built on Unreal Engine. We expand it with new…

★ 392 · GitHub ↗

Seq2seq-Chatbot-for-Keras

This repository contains a new generative model of chatbot based on seq2seq modeling.

★ 330 · GitHub ↗

Chatette

A powerful dataset generator for Rasa NLU, inspired by Chatito

★ 313 · GitHub ↗

flowflow

Voice notes for iPhone and macOS - 100% Rust, Dioxus, local-first (SQLite + LanceDB + RIG)

★ 159 · GitHub ↗

Der Standort stammt aus dem GitHub-Profil jedes Projektinhabers. Etwa die Hälfte von ihnen gibt einen an — diese Karte zeigt diese, nicht das gesamte Bild.