Ibrahim-Hassaballa

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

Banknote-Authentication

Machine Learning

binary-classification

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-models

A collection of various deep learning architectures, models, and tips

Ibrahim-Hassaballa/applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

Ibrahim-Hassaballa/Banknote-Authentication

Machine Learning

Ibrahim-Hassaballa/binary-classification

Ibrahim-Hassaballa/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

Ibrahim-Hassaballa/coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Ibrahim-Hassaballa/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Ibrahim-Hassaballa/Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Ibrahim-Hassaballa/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Ibrahim-Hassaballa/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Ibrahim-Hassaballa/deeplearning-models

A collection of various deep learning architectures, models, and tips

Ibrahim-Hassaballa/deeplearning.ai-specilization-

all code that used

Ibrahim-Hassaballa/get-to-philosophy-

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.

Ibrahim-Hassaballa/Human-Activity-Recognition-Using-Smartphones.github.io

Ibrahim-Hassaballa/imageclassification

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Ibrahim-Hassaballa/Leetcode-Solutions

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.

Ibrahim-Hassaballa/Linear-Regression-

Ibrahim-Hassaballa/Machine-learning

Ibrahim-Hassaballa/ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Ibrahim-Hassaballa/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Ibrahim-Hassaballa/ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

Ibrahim-Hassaballa/neural_prophet

NeuralProphet - a Neural Network based Time-Series model

Ibrahim-Hassaballa/Practical-Machine-Learning-Tips

Ibrahim-Hassaballa/Python

All Algorithms implemented in Python

Ibrahim-Hassaballa/robust-models-transfer

Official repository for the "Do Adversarially Robust ImageNet Models Transfer Better?" paper

Ibrahim-Hassaballa/see-inside-cnn

Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras

Ibrahim-Hassaballa/Segmentation

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.

Ibrahim-Hassaballa/Self_Driving_Car_specialization

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Ibrahim-Hassaballa/Singularity-Computer-Vision

Computer Vision Course Materials

Ibrahim-Hassaballa/Transformers

Transformers and related deep network architectures are summarized and implemented here.