Masoud Masoumi Moghadam's repositories
MCTS-agent-python
Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.
MCTS-agent-cythonized
MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.
volleyball_analytics
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
digikala-color-classification
Digikala dataset for the task of color classification.
Monte-Carlo-Tree-Search-Hex-Cpp
I used this project to master c++. I just reimplemented monte carlo tree search agent on the game of hex with cpp.
opencv_tutorials
Learn computer vision tools
coco-manager
Scripts to manage COCO datasets
covid-19-xray-dataset
Manually drawn lung segmentations, with and without covid
gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
HeadPoseEstimate
This project is based on 3d facial landmarks.
MCTS-Cpp-Tests-
Unit Tests for Monte-Carlo-Tree-Search in Game of HEX. It will be integrated to the main qt project later.
ml-andrew-ng-code
سورس کد وب سایت یادگیری ماشین دانشگاه استنفورد به فارسی برای مشارکت
ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
RWF2000-Video-Database-for-Violence-Detection
A large scale video database for violence detection, which has 2,000 video clips containing violent or non-violent behaviours.
TFRecords_4_videos
:floppy_disk: :fire: The fastest and easiest to use TFRecords formatter
VolleyVision
Applying Deep Learning Approaches to Volleyball Data
yolov3-keras-tf2
yolo(v3/v4) implementation in keras and tensorflow 2.2
yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.