ahmedlatef Goto Github PK
Name: ahmed latef
Type: User
Bio: programmer
Location: iraq
Name: ahmed latef
Type: User
Bio: programmer
Location: iraq
Advanced Deep Learning with Keras, published by Packt
Some code for AI in MedIA.
Colab notebooks from Algorithms for Massive Data course at University of Milan
TAR application for sexual predator identification
android
Image Upload from Android to Python-Based Flask Server
Applied Deep Learning
Generating Arabic poetry using Markov chains.
A collection of awesome software, libraries, documents, books, resources and cools stuffs about security.
A curated list of awesome Hacking tutorials, tools and resources
Capstone Project - Bacteria classification
Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.
Use of Image Processing to detect brain tumour in MRI Scan
Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
A simple CNN architecture implementation for Text classification using Keras and Tensorflow
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
CompTIA Network+ Certification (N10-007)
CompTIA Security+ SY0-501 Certification Notes
《计算机网络-自顶向下方法(原书第6版)》编程作业,Wireshark实验文档的翻译和解答。
Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.
Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images
Projects used for Modular Master (Cyber Security) by SUTD
A PERFECT classification on 108,308 two-dimensional retinal OCT images.
Keras code and weights files for popular deep learning models.
Computer vision deep learning with medical images, MSc DS final project
Various State of the Art Deep Learning models for Text Classification inspired by different tasks in NLP
This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation of blood vessels BCDU-Net is used. For OD segmentation, U-Net model is used. MAs and hemorrhages are extracted using Otsu thresholding technique. Both clinical and non-clinical features are extracted and fed to SVM classifier.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.