Alzayat Saleh's Projects
Counting CNN and Hydra CNN
Implementation of character based convolutional neural network
Template repository for standardizing thematic species checklist data to Darwin Core using R
A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to use a pretrained Mask RCNN model to come up with initial segmentations.
Python package to download files on any topic in bulk.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Object counting and instance segmentation with image-level supervision, in CVPR 2019
The 3rd edition of course.fast.ai - coming in 2019
HTML, CSS, and Javascript for Web Developers
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Number of people counting in an image of crowd
Single Image Crowd Counting via MCNN (Unofficial Implementation)
Stacked pooling for crowd counting
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Complete Assignments for Spring 2017 CS231n: Convolutional Neural Networks for Visual Recognition
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Powerful and efficient Computer Vision Annotation Tool (CVAT)
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
A simple search engine based on the web crawler developed in Udacity's CS101 course.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning for Computer Vision, by Packt
Exercises from https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/
Keras code and weights files for popular deep learning models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"