masouduut94
Share your knowledge. A candle does not lose anything with lighting another candle.
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Pinned Repositories
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.
deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
Digikala_comments_verification
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!
json_logger_for_object_detection
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-type-classification
# 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.
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.
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.
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
volleyball_analytics
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
masouduut94's Repositories
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.
masouduut94/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.
masouduut94/volleyball_analytics
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
masouduut94/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.
masouduut94/digikala-color-classification
Digikala dataset for the task of color classification.
masouduut94/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.
masouduut94/opencv_tutorials
Learn computer vision tools
masouduut94/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
masouduut94/A-Dataset-for-Automatic-Violence-Detection-in-Videos
masouduut94/AVSS2019
Efficient Violence Detection Using 3D Convolutional Neural Networks
masouduut94/coco-manager
Scripts to manage COCO datasets
masouduut94/covid-19-xray-dataset
Manually drawn lung segmentations, with and without covid
masouduut94/gradient_descent_viz
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
masouduut94/HeadPoseEstimate
This project is based on 3d facial landmarks.
masouduut94/masouduut94
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.
masouduut94/ml-andrew-ng-code
سورس کد وب سایت یادگیری ماشین دانشگاه استنفورد به فارسی برای مشارکت
masouduut94/ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
masouduut94/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
masouduut94/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.
masouduut94/resume
A latek code for resume
masouduut94/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.
masouduut94/sherloq
An open-source digital image forensic toolset
masouduut94/superannotate
masouduut94/TFRecords_4_videos
:floppy_disk: :fire: The fastest and easiest to use TFRecords formatter
masouduut94/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."
masouduut94/VolleyVision
Applying Deep Learning Approaches to Volleyball Data
masouduut94/yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
masouduut94/yolov3-keras-tf2
yolo(v3/v4) implementation in keras and tensorflow 2.2
masouduut94/yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.