ibrahim-hassaballa Goto Github PK
Name: Ibrahim Hassaballa
Type: User
Name: Ibrahim Hassaballa
Type: User
📚 Papers by organizations sharing their work on applied data science & machine learning.
Machine Learning
Best Practices, code samples, and documentation for Computer Vision.
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
all code that used
challenge how to get to philosophy page in Wikipedia Clicking on the first link in the main body of a Wikipedia article and repeating the process for subsequent articles would usually lead to the article Philosophy.
Deep Learning: Image classification, feature visualization and transfer learning with Keras
This collection of beginner-friendly LeetCode problems. This repository features easy-to-understand solutions that are constantly updated for improved performance. Whether you're a coding novice or looking to refresh your skills, this repository is a great resource to help you develop your abilities and become a better programmer.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
📺 Discover the latest machine learning / AI courses on YouTube.
NeuralProphet - a Neural Network based Time-Series model
All Algorithms implemented in Python
Official repository for the "Do Adversarially Robust ImageNet Models Transfer Better?" paper
Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
In this tutorial, you will perform inference across 10 well-known pre-trained semantic segmentors and fine-tune on a custom dataset. Design and train your own segmentor.
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
Computer Vision Course Materials
Transformers and related deep network architectures are summarized and implemented here.
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.