This is a web demo for camera-based PPG sensing (rPPG).

☕️ A vscode extension for netron, support *.pdmodel, *.nb, *.onnx, *.pb, *.h5, *.tflite, *.pth, *.pt, *.mnn, *.param, etc.

VSCode Extension of Type4Py

(computer vision in hosipitals) this is a simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image.

Digit recognition with dl4j

code generation chatbot for stabilty AIs stablecode

AI Image generator and NFT Creator

A library simplifying the work with TensorFlow.js in Node.

ml5.js example for ReactJS with Typescript variant. This repository contains two examples, one of pose-net and another of face-api. Read about this in my blog (https://analyticsindiamag.com/how-to-teach-machines-inside-a-browser/).

Deep learning framework for TypeScript

AI-powered tool for early detection of nail-related diseases from images. Upload a nail photo and get real-time predictions using a high-accuracy deep learning model (97.8% accuracy). Built for scalability, efficiency, and healthcare accessibility.

A simple implementation of a Multi-Layer Perceptron (MLP) neural network in TypeScript.使用 TypeScript 实现的简单多层感知器（MLP）神经网络。

Core TypeScript library for accessing the UFDL backend, managing the communication.

Spam comment detection on social media using emoji analysis and post-comment pair context to improve classification accuracy.

Art Guard is an AI-driven solution designed to authenticate and protect artwork, ensuring the integrity of each piece by identifying whether it is real, handmade, or AI-generated.

A showcase of my AI/ML journey—featuring hands-on projects in machine learning, deep learning, NLP, and real-world applications built using Python, TensorFlow, and more.

Este projeto fornece a interface frontend responsável por interagir com a API de reconhecimento de dígitos manuscritos, permitindo ao usuário desenhar e visualizar os resultados da classificação. A aplicação integra o modelo de Deep Learning treinado com Keras/TensorFlow, utilizando o dataset público MNIST.

Modern web interface for Stable Diffusion 3 text-to-image generation. Features real-time progress tracking, local storage, and a sleek dark mode UI. Built with Next.js 15, FastAPI, and TorchServe.