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Experience email the way you want with Mail0 – the first open source email app that puts your privacy and safety first. Join the discord: https://mail0.link/discord
React useContextSelector hook in userland
Meet Ava, the WhatsApp Agent
Payload is the open-source, fullstack Next.js framework, giving you instant backend superpowers. Get a full TypeScript backend and admin panel instantly. Use Payload as a headless CMS or for buildi…
Components crafted for Design Engineers. Styled using Tailwind CSS, fully compatible with Shadcn, and easy to integrate—just copy and paste. MIT 🤌
The world's most flexible commerce platform.
React - The Complete Guide Course Resources (Code, Attachments, Slides)
Cheatsheets for experienced React developers getting started with TypeScript
Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.
The library for web and native user interfaces.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Get a full fake REST API with zero coding in less than 30 seconds (seriously)
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
Retina blood vessel segmentation with a convolutional neural network
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
YOLO Object detection with OpenCV and Python.
Anomaly detection on images using features from pretrained neural networks.
This is the code for "YOLO Object Detection" by Siraj Raval
[EN]: The Medium's articles and notebooks I have written on the topics I have learned and wondered about Machine Learning, Data Science and Python. [TR]: Machine Learning, Data Science ve Python il…
crop classification using deep learning on satellite images
Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering