{"id":21540154,"url":"https://github.com/fayzi-dev/fayzi-dev","last_synced_at":"2026-03-19T20:48:12.978Z","repository":{"id":260673293,"uuid":"876850261","full_name":"fayzi-dev/fayzi-dev","owner":"fayzi-dev","description":"mohammad fayzi","archived":false,"fork":false,"pushed_at":"2025-05-16T10:34:16.000Z","size":1276,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-09T10:46:01.914Z","etag":null,"topics":["convolutional-neural-network","deep-learning","git","hugginface","javascript","knn-classification","machine-learning","mysql-database","php","python","pytorch","random-forest","sckiit-learn","streamlit","svm"],"latest_commit_sha":null,"homepage":"https://github.com/fayzi-dev/","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fayzi-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-10-22T16:50:51.000Z","updated_at":"2025-06-02T10:53:05.000Z","dependencies_parsed_at":"2024-12-23T17:28:50.029Z","dependency_job_id":"14859da2-8534-4c9d-91ec-bf0137f5c1e7","html_url":"https://github.com/fayzi-dev/fayzi-dev","commit_stats":null,"previous_names":["fayzi-dev/fayzi-dev"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/fayzi-dev/fayzi-dev","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fayzi-dev%2Ffayzi-dev","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fayzi-dev%2Ffayzi-dev/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fayzi-dev%2Ffayzi-dev/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fayzi-dev%2Ffayzi-dev/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fayzi-dev","download_url":"https://codeload.github.com/fayzi-dev/fayzi-dev/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fayzi-dev%2Ffayzi-dev/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28948456,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-31T14:26:55.697Z","status":"ssl_error","status_checked_at":"2026-01-31T14:26:52.545Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["convolutional-neural-network","deep-learning","git","hugginface","javascript","knn-classification","machine-learning","mysql-database","php","python","pytorch","random-forest","sckiit-learn","streamlit","svm"],"created_at":"2024-11-24T04:17:34.181Z","updated_at":"2026-01-31T17:31:42.531Z","avatar_url":"https://github.com/fayzi-dev.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c!--\u003cimg src=\"\" alt=\"fayzi-dev\" width=\"900\" height=\"250\" /\u003e --\u003e\n\u003ch1 align=\"center\"\u003eHi 👋, I'm Mohammad Fayzi\u003c/h1\u003e\n\u003ch3 align=\"center\"\u003e\nI am an artificial intelligence programmer specializing in computer vision and various AI-related projects and research. My work focuses on developing machine learning and deep learning models to solve complex problems in these fields. I am constantly learning and refining my technical skills to stay up-to-date with the latest advancements.\u003c/h3\u003e\n\n\u003c!--\u003cimg align=\"right\" alt=\"Fayzi-dev\" width=\"400\" src=\"https://github.com/fayzi-dev/fayzi-dev/blob/main/1697089776871.gif\" /\u003e\n\n \u003cp align=\"left\"\u003e \u003cimg src=\"https://komarev.com/ghpvc/?username=fayzi-dev\u0026label=Profile%20views\u0026color=0e75b6\u0026style=flat\" alt=\"fayzi-dev\" /\u003e \u003c/p\u003e --\u003e\n\n# **Skills**\n\n#### **Experience using**\n\u003cli\u003ePyTorch , OpenCV, Hugging Face, Scikit-learn ,...\u003c/li\u003e\n\u003cli\u003eSupervised and unsupervised learning algorithms ...\u003c/li\u003e\n\u003cli\u003e deep learning ,Regression models, classification, neural networks, ... \u003c/li\u003e\n\u003cli\u003eData analysis and feature engineering\u003c/li\u003e\n\n#### **Programming Languages**\n\u003cli\u003ePython\u003c/li\u003e\n\u003cli\u003ePHP\u003c/li\u003e \n\u003cli\u003ejavascript\u003c/li\u003e\n\n\n#### **Frontend Tools**\n\u003cli\u003eHTML\u003c/li\u003e\n\u003cli\u003eBootstrap\u003c/li\u003e\n\u003cli\u003ejQuery\u003c/li\u003e\n\u003cli\u003eCss\u003c/li\u003e\n\n#### **Tools and Technologies**\n\u003cli\u003eGit, GitHub, pip , Anaconda, Miniconda\u003c/li\u003e\n\u003cli\u003eDatabases: MySQL\u003c/li\u003e\n\u003cli\u003eOperating Systems: Windows, Linux, macOS\u003c/li\u003e\n\n\n# Introducing Specialized Articles\n\n### 1. [Dark Web Activity Classification Using Deep Learning](\u003ca href=\"https://arxiv.org/abs/2306.07980\" target=\"blank\"\u003eLink to the Paper\u003c/a\u003e)\n   - **Abstract**:In contemporary times, people rely heavily on the internet and search engines to obtain information, either directly or indirectly. However, the information accessible to users constitutes merely 4% of the overall information present on the internet, which is commonly known as the surface web. The remaining information that eludes search engines is called the deep web. The deep web encompasses deliberately hidden information, such as personal email accounts, social media accounts, online banking accounts, and other confidential data. The deep web contains several critical applications, including databases of universities, banks, and civil records, which are off-limits and illegal to access. The dark web is a subset of the deep web that provides an ideal platform for criminals and smugglers to engage in illicit activities, such as drug trafficking, weapon smuggling, selling stolen bank cards, and money laundering. In this article, we propose a search engine that employs deep learning to detect the titles of activities on the dark web. We focus on five categories of activities, including drug trading, weapon trading, selling stolen bank cards, selling fake IDs, and selling illegal currencies. Our aim is to extract relevant images from websites with a \".onion\" extension and identify the titles of websites without images by extracting keywords from the text of the pages. Furthermore, we introduce a dataset of images called Darkoob, which we have gathered and used to evaluate our proposed method. Our experimental results demonstrate that the proposed method achieves an accuracy rate of 94% on the test dataset.\n   - **Publication Year**: 2023/6/25\n   - **Link to the Paper**:\u003ca href=\"https://arxiv.org/abs/2306.07980\" target=\"blank\"\u003eLink to the Paper\u003c/a\u003e\n### 2. [Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation](\u003ca href=\"https://arxiv.org/abs/2306.14250\" target=\"blank\"\u003eLink to the Paper\u003c/a\u003e)\n   - **Abstract**: One of the most significant challenges in the field of deep learning and medical image segmentation is to determine an appropriate threshold for classifying each pixel. This threshold is a value above which the model's output is considered to belong to a specific class. Manual thresholding based on personal experience is error-prone and time-consuming, particularly for complex problems such as medical images. Traditional methods for thresholding are not effective for determining the threshold value for such problems.\nTo tackle this challenge, automatic thresholding methods using deep learning have been proposed. However, the main issue with these methods is that they often determine the threshold value statically without considering changes in input data. Since input data can be dynamic and may change over time, threshold determination should be adaptive and consider input data and environmental conditions.\n   - **Publication Year**: 2023/5/30\n   - **Link to the Paper**:\u003ca href=\"https://arxiv.org/abs/2306.14250\" target=\"blank\"\u003eLink to the Paper\u003c/a\u003e\n\n\n# contact us\n ## 📫 How to reach me **fayzi.dev@gmail.com**\n\n\u003ch3 align=\"left\"\u003eConnect with me:\u003c/h3\u003e\n\u003cp align=\"left\"\u003e\n\u003ca href=\"https://linkedin.com/in/fayzi-dev\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/linked-in-alt.svg\" alt=\"fayzi-dev\" height=\"30\" width=\"40\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://stackexchange.com/users/36104962/mohammad-fayzi\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/stack-overflow.svg\" alt=\"fayzi-dev\" height=\"30\" width=\"40\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://kaggle.com/fayzi-dev\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/kaggle.svg\" alt=\"fayzi-dev\" height=\"30\" width=\"40\" /\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\u003ch3 align=\"left\"\u003eLanguages and Tools:\u003c/h3\u003e\n\u003cp align=\"left\"\u003e\n  \u003ca href=\"https://www.python.org\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg\" alt=\"python\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://pytorch.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://www.vectorlogo.zone/logos/pytorch/pytorch-icon.svg\" alt=\"pytorch\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e\n \u003ca href=\"https://getbootstrap.com\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/bootstrap/bootstrap-plain-wordmark.svg\" alt=\"bootstrap\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://www.w3schools.com/css/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/css3/css3-original-wordmark.svg\" alt=\"css3\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://git-scm.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://www.vectorlogo.zone/logos/git-scm/git-scm-icon.svg\" alt=\"git\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://www.w3.org/html/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/html5/html5-original-wordmark.svg\" alt=\"html5\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://www.linux.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/linux/linux-original.svg\" alt=\"linux\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://www.mysql.com/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/mysql/mysql-original-wordmark.svg\" alt=\"mysql\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://pandas.pydata.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/2ae2a900d2f041da66e950e4d48052658d850630/icons/pandas/pandas-original.svg\" alt=\"pandas\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://www.php.net\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/php/php-original.svg\" alt=\"php\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://scikit-learn.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://upload.wikimedia.org/wikipedia/commons/0/05/Scikit_learn_logo_small.svg\" alt=\"scikit_learn\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://seaborn.pydata.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://seaborn.pydata.org/_images/logo-mark-lightbg.svg\" alt=\"seaborn\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003ca href=\"https://www.tensorflow.org\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://www.vectorlogo.zone/logos/tensorflow/tensorflow-icon.svg\" alt=\"tensorflow\" width=\"40\" height=\"40\"/\u003e \u003c/a\u003e \u003c/p\u003e\n\n\u003c!--p\u003e\u003cimg align=\"left\" src=\"https://github-readme-stats.vercel.app/api/top-langs?username=fayzi-dev\u0026show_icons=true\u0026locale=en\u0026layout=compact\" alt=\"fayzi-dev\" /\u003e\u003c/p\u003e --\u003e\n\n\u003cp\u003e\u0026nbsp;\u003cimg align=\"center\" src=\"https://github-readme-stats.vercel.app/api?username=fayzi-dev\u0026show_icons=true\u0026locale=en\" alt=\"fayzi-dev\" /\u003e\u003c/p\u003e\n\n\u003cp\u003e\u003cimg align=\"center\" src=\"https://github-readme-streak-stats.herokuapp.com/?user=fayzi-dev\u0026\" alt=\"fayzi-dev\" /\u003e\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffayzi-dev%2Ffayzi-dev","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffayzi-dev%2Ffayzi-dev","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffayzi-dev%2Ffayzi-dev/lists"}