Masoud Masoumi Moghadam's Projects
Google Brain AutoML
Efficient Violence Detection Using 3D Convolutional Neural Networks
A curated list of action recognition and related area resources
A curated list of awesome data labeling tools
Semi Automatic Data Labeling for Deep Learning Applications: A Case Study on Wind Turbine Blade Segmentation
Vehicle Detection with Convolutional Neural Network
A CNN car driver for the game of Vdrift. I am using `AlexNet` to build this CNN. COMING SOON....
Scripts to manage COCO datasets
Manually drawn lung segmentations, with and without covid
This is a repo that I use to keep some tools that I developed for simple automation tasks like video annotation, stiching videos, slicing videos and etc.
Cheat Sheets
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Repo for the Deep Reinforcement Learning Nanodegree program
MOT tracking using deepsort and yolov3 with pytorch
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Digikala dataset for the task of color classification.
Digikala online market has recently published some open source data in various categories. Since I always wanted to do some NLP project, so I thought of some useful tutorials in python for newcomers. I really hope this could be useful for you guys. I still keep updating the package and also will share the link of video and article related to this post soon!
Automatically create a time-lapse morph sequence of a face using OpenCV and Dlib.
šāØ Help beginners to contribute to open source projects
Supporting code for my article on video streaming with Flask.
The project results in an evolutionary algorithm based agent which finds the best path for a Sales Person Problem. The agent uses Xgboost model to predict the trip duration and use that as the fitness metric.
Github do not ban us from open source world :iran:
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
This project is based on 3d facial landmarks.
This repository is made up to support codes for this medium post: Features: tools for adding bboxes and corresponding labels. flexible to add more labels and its confidences and categories. an example code for object detection is provided. The code is developed using Test-Driven-Development.
# kaggle-glass-classification-nn-model An analysis of kaggle glass dataset as well as building a neural network. In this work Neural Network is built with considering optimized parameters using hyperopt and hyperas libraries.
A Keras implementation of YOLOv3 (Tensorflow backend)
Markdown Cheatsheet for Github Readme.md
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent