Stars
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A database of 450 Machine Learning (ML) system design case studies from 100+ companies.
OCR system for Arabic language that converts images of typed text to machine-encoded text.
An Awesome List of Open-Source Data Engineering Projects
All of the ad-hoc things you're doing to manage incidents today, done for you, and much more!
This repository explores the fascinating world of brain tumor classification using cutting-edge Convolutional Neural Networks (CNNs) and eXplainable Artificial Intelligence (XAI) techniques.
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
PLPR utilizes YOLOv5 and custom models for high-accuracy Persian license plate recognition, featuring real-time processing and an intuitive interface in an open-source framework.
Medical image registration using deep learning
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Properly generate a 3D numpy array from a set of DICOM files.
Read, modify and write DICOM files with python code
A list of Medical imaging datasets.
Curated list of project-based tutorials
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
We write your reusable computer vision tools. 💜
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
VIP cheatsheets for Stanford's CS 229 Machine Learning