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