muhammedabdelnasser

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

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DataStructureAndAlgorithms

Write code that run faster, use less memory and prepare for your Job Interview

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deep-image-prior-tensorflow

an implementation of Deep Image Prior using tensorflow

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deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

Language:Jupyter NotebookMIT020

deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

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dso

Direct Sparse Odometry

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German-Traffic-Sign-Classification-Using-TensorFlow

In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

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imitation-learning

Repository to store conditional imitation learning based AI that runs on CARLA.

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keras-applications

Reference implementations of popular deep learning models.

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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micronucleus

ATTiny usb bootloader with a strong emphasis on bootloader compactness.

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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Language:Jupyter NotebookMIT020

My-Stuff-To-Share

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optiboot

Small and Fast Bootloader for Arduino and other Atmel AVR chips

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PlotNeuralNet

Latex code for making neural networks diagrams

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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self-driving-car-1

The Udacity open source self-driving car project

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Semantic-Segmentation-using-Fully-Convolutional-Networks

In this project, we'll construct a fully convolutional neural network based on the VGGNet-16 architecture to perform semantic segmentation on a video captured from a front facing camera mounted on a vehicle dashboard to identify the drivable surface area.

Language:PythonMIT020

muhammedabdelnasser