masouduut94

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.

volleyball_analytics

This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.

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.

python_fast_and_curious

This project consisits of several implementations of COCO format dataset validation between ground truths and predictions. It is designed to highlight the superpower of python libraries for big computations and its integration with other languages like C++.

cv_tools

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.

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

masouduut94

MCTS-Cpp-Tests-

Unit Tests for Monte-Carlo-Tree-Search in Game of HEX. It will be integrated to the main qt project later.

resume

A latek code for resume

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

A-Dataset-for-Automatic-Violence-Detection-in-Videos

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.

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.

Portfolio

This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.

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.

sherloq

An open-source digital image forensic toolset

superannotate

TFRecords_4_videos

:floppy_disk: :fire: The fastest and easiest to use TFRecords formatter

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

VolleyVision

Applying Deep Learning Approaches to Volleyball Data

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov3-keras-tf2

yolo(v3/v4) implementation in keras and tensorflow 2.2

yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.