Pinned Repositories
Autonomous-Ai-drone-scripts
State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
AutoRCCar
OpenCV Python Neural Network Autonomous RC Car
carnd-advanced-lane-line-finding
Find lane lines with OpenCV
CNN-Architectures
cs-video-courses
List of Computer Science courses with video lectures.
Deep_Learning
added all materials
dlaicourse
Notebooks for learning deep learning
Getting-started-with-Tensorflow-2
Coursera course on Tensorflow 2
PENTESTING-BIBLE
Leran Ethical Hacking and penetration testing .hundreds of ethical hacking & penetration testing & red team & cyber security & computer science resources.
STPLS3D
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
MohammedElmehdiMehaya's Repositories
MohammedElmehdiMehaya/Autonomous-Ai-drone-scripts
State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
MohammedElmehdiMehaya/dlaicourse
Notebooks for learning deep learning
MohammedElmehdiMehaya/Getting-started-with-Tensorflow-2
Coursera course on Tensorflow 2
MohammedElmehdiMehaya/CNN-Architectures
MohammedElmehdiMehaya/Courses
Courses and MOOCs
MohammedElmehdiMehaya/cs-video-courses
List of Computer Science courses with video lectures.
MohammedElmehdiMehaya/STPLS3D
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
MohammedElmehdiMehaya/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
MohammedElmehdiMehaya/datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
MohammedElmehdiMehaya/DataStructureAndAlgorithms
Write code that run faster, use less memory and prepare for your Job Interview
MohammedElmehdiMehaya/Deep-SORT-YOLOv4
People detection and optional tracking with Tensorflow backend.
MohammedElmehdiMehaya/deep-visualization-toolbox
DeepVis Toolbox
MohammedElmehdiMehaya/developer-roadmap
Roadmap to becoming a developer in 2021
MohammedElmehdiMehaya/DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
MohammedElmehdiMehaya/docs
🎉 Contribute to OpenDroneMap's documentation! Read how below! 🎉
MohammedElmehdiMehaya/goproUSB
Software for controlling, recording images and videos, and downloading media from single or multiple GoPro cameras connected via USB.
MohammedElmehdiMehaya/keras-YOLOv3-model-set
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
MohammedElmehdiMehaya/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
MohammedElmehdiMehaya/neural-networks-and-deep-learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
MohammedElmehdiMehaya/Object-Detection-and-Tracking
Object Detection and Multi-Object Tracking
MohammedElmehdiMehaya/point-cloud-regularization
A structured optimization framework for spatially regularizing point clouds classification
MohammedElmehdiMehaya/pyro-vision
Computer vision library for wildfire detection
MohammedElmehdiMehaya/SelfDrivingRCCar
Autonomous RC Car using Neural Networks, Python and Open CV
MohammedElmehdiMehaya/Single-Multiple-Custom-Object-Detection-and-Tracking
MohammedElmehdiMehaya/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
MohammedElmehdiMehaya/supervision
We write your reusable computer vision tools. 💜
MohammedElmehdiMehaya/tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
MohammedElmehdiMehaya/tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
MohammedElmehdiMehaya/tfluna-python
Python codes for TF-Luna LiDAR module that interface with a Raspberry Pi computer
MohammedElmehdiMehaya/WebODM
User-friendly, commercial-grade software for processing aerial imagery. 🛩