Loading Bar (aka Progress Bar) for Redux and React

JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.

An Application Framework for AI Engineering

YOLOv12: Attention-Centric Real-Time Object Detectors

🦜🔗 Build context-aware reasoning applications

Interactive 3D Portfolio Website with Next.js, Three.js & Tailwind CSS | Checkout the tutorial link ⚡

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Create LLM agents with long-term memory and custom tools 📚🦙

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

12 Weeks, 24 Lessons, AI for All!

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Demo of a RAG Question and Answering System with Llama 3.1 and Marqo

手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube

Getting Started with GPT4 API, GPT4 RAG, OpenAI GPT4 Assistant, OpenAI Models

Micronaut blueprint for JHipster

Run AI models locally on your machine with node.js bindings for llama.cpp. Force a JSON schema on the model output on the generation level

RAG implemented using Langchain