{"id":18237479,"url":"https://github.com/himalayaashish/anomaly-detection","last_synced_at":"2026-05-04T05:35:56.089Z","repository":{"id":258514155,"uuid":"872795906","full_name":"himalayaashish/Anomaly-Detection","owner":"himalayaashish","description":"This project focuses on implementing anomaly detection techniques using TensorFlow to identify outliers in various datasets. The model leverages deep learning algorithms, such as autoencoders and recurrent neural networks, to effectively recognize patterns and detect deviations from normal behavior. Optimized for performance.","archived":false,"fork":false,"pushed_at":"2024-10-17T08:15:12.000Z","size":3437,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-14T11:53:10.391Z","etag":null,"topics":["encoder","encoder-decoder-architecture","tensorflow","tensorflow2","time-series"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/himalayaashish.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}},"created_at":"2024-10-15T05:01:01.000Z","updated_at":"2024-10-17T08:18:21.000Z","dependencies_parsed_at":null,"dependency_job_id":"592905f7-2c90-4f65-a6c8-524e82836659","html_url":"https://github.com/himalayaashish/Anomaly-Detection","commit_stats":null,"previous_names":["himalayaashish/anomaly-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FAnomaly-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FAnomaly-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FAnomaly-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FAnomaly-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/himalayaashish","download_url":"https://codeload.github.com/himalayaashish/Anomaly-Detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247872393,"owners_count":21010237,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["encoder","encoder-decoder-architecture","tensorflow","tensorflow2","time-series"],"created_at":"2024-11-05T02:04:42.937Z","updated_at":"2026-05-04T05:35:56.021Z","avatar_url":"https://github.com/himalayaashish.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Hello World! \u003cimg alt=\"wave\" src=\"https://raw.githubusercontent.com/MartinHeinz/MartinHeinz/master/wave.gif\" width=\"30px\"\u003e\n\n\u003cdiv align=\"center\"\u003e 🚀 Welcome to my git repo :\u003cb\u003eAnomaly-Detection\u003c/b\u003e\u003c/div\u003e\n\n#####   \n\u003cimg src=\"https://github.com/himalayaashish/Anomaly-Detection/blob/main/work-3.png?raw=true\" alt=\"Text Summarization\" width=\"500\"/\u003e\n\n\n#### Anomaly Detection Using TensorFlow\n###### This project focuses on implementing anomaly detection techniques using TensorFlow to identify outliers in datasets. By employing deep learning models, the system is capable of recognizing patterns and flagging deviations from the norm. The project demonstrates the use of various algorithms and performance metrics to effectively detect anomalies, ensuring robust and accurate results in real-world applications.\n\n###### This project predicts the anomaly on timeseries data conversations using the tensorflow model.\n\n---\n\n## Installation\n\n1. Clone this repository or download the script.\n2. Install the required packages using pip:\n\n```bash\n   pip install -r requirements.txt\n```\n```bash\n   python main.py\n```\n\n\n---\n\n### Languages and Tools \n\n### Languages\n  **Python**:\n  ![Python](https://img.shields.io/badge/-Python-black?style=flat\u0026logo=python)\n  ![Keras](https://img.shields.io/badge/-Keras-D00000?style=flat\u0026logo=Keras)\n  ![Tensorflow](https://img.shields.io/badge/-Tensorflow-gray?style=flat\u0026logo=tensorflow)\n  ![PyTorch](https://img.shields.io/badge/-PyTorch-EE4C2C?style=flat\u0026logo=PyTorch\u0026logoColor=white)\n  ![Pandas](https://img.shields.io/badge/-Pandas-150458?style=flat\u0026logo=Pandas)\n  ![Numpy](https://img.shields.io/badge/-Numpy-lightgray?style=flat\u0026logo=Numpy\u0026logoColor=white)\n  ![Scipy](https://img.shields.io/badge/-Scipy-blue?style=flat\u0026logo=Scipy\u0026logoColor=white)\n  ![Matplotlib](https://img.shields.io/badge/-Matplotlib-black?style=flat\u0026logo=Matplotlib\u0026logoColor=white)\n\n  **JavaScript**: \n  ![JavaScript](https://img.shields.io/badge/-JavaScript-black?style=flat\u0026logo=javascript)\n  ![HTML5](https://img.shields.io/badge/-HTML5-E34F26?style=flat\u0026logo=html5\u0026logoColor=white) \n  ![CSS3](https://img.shields.io/badge/-CSS3-1572B6?style=flat\u0026logo=css3) \n  ![Bootstrap](https://img.shields.io/badge/-Bootstrap-purple?style=flat\u0026logo=bootstrap) \n\n  **SQL:**\n  ![SQL](https://img.shields.io/badge/-SQL-orange?style=flat\u0026logo=sql)\n  ![MySQL](https://img.shields.io/badge/-MySQL-lightgray?style=flat\u0026logo=mysql)\n  ![PostgreSQL](https://img.shields.io/badge/-PostgreSQL-blue?style=flat\u0026logo=postgresql)\n\n### Tools\n\n**Software Development:**\n![Pycharm IDE](https://img.shields.io/badge/PyCharm-000000?logo=PyCharm\u0026logoColor=white)\n![IntelliJ IDEA](https://img.shields.io/badge/-red?style=flat\u0026logo=IntelliJ-IDEA\u0026logoColor=white)\n![Docker](https://img.shields.io/badge/-2496ED?style=flat\u0026logo=Docker\u0026logoColor=white)\n![Jenkins](https://img.shields.io/badge/Jenkins-gray?style=flat\u0026logo=jenkins) \n![XML](https://img.shields.io/badge/-XML-orange?style=flat\u0026logo=xml)\n![JSON](https://img.shields.io/badge/-JSON-lightgray?style=flat\u0026logo=json)\n![Vim](https://img.shields.io/badge/-019733?style=flat\u0026logo=Vim\u0026logoColor=white)\n\n**SDLC:**\n![Agile](https://img.shields.io/badge/Agile-blue?style=flat\u0026logo=Agile\u0026logoColor=white) ![Scrum](https://img.shields.io/badge/Scrum-green?style=flat\u0026logo=Scrum\u0026logoColor=white) ![Kanban](https://img.shields.io/badge/Kanban-red?style=flat\u0026logo=Kanban\u0026logoColor=white)\n\n**Software Engineering:**\n[![Jira](https://img.shields.io/badge/-Jira-0052CC?style=flat\u0026logo=jira\u0026logoColor=white\u0026link=https://github.com/Quananhle)](https://github.com/Quananhle)\n[![Travis](https://img.shields.io/badge/-Travis-red?style=flat\u0026logo=travis\u0026logoColor=white\u0026link=https://github.com/Quananhle)](https://github.com/Quananhle) \n\n**Version Control:**\n![Bitbucket](https://img.shields.io/badge/-Bitbucket-blue?style=flat\u0026logo=bitbucket)\n![Git](https://img.shields.io/badge/-Git-black?style=flat\u0026logo=git) \n![GitHub](https://img.shields.io/badge/-GitHub-181717?style=flat\u0026logo=github)\n\n---\n\n\n\u003c!--START_SECTION:waka--\u003e\n\u003cdiv style=\"display: flex; justify-content: space-between; align-items: center;\"\u003e\n  \u003cimg src=\"http://github-profile-summary-cards.vercel.app/api/cards/profile-details?username=himalayaashish\u0026theme=apprentice\" alt=\"Profile Details\" /\u003e\n  \u003cimg src=\"http://github-profile-summary-cards.vercel.app/api/cards/productive-time?username=himalayaashish\u0026theme=apprentice\u0026utcOffset=8\" alt=\"Productive time\" /\u003e\n  \u003cimg align=\"left\" src=\"http://github-profile-summary-cards.vercel.app/api/cards/repos-per-language?username=himalayaashish\u0026theme=apprentice\" alt=\"Repos per language\" /\u003e\n  \u003cimg align=\"left\" src=\"http://github-profile-summary-cards.vercel.app/api/cards/most-commit-language?username=himalayaashish\u0026theme=apprentice\" alt=\"Most commit language\" /\u003e\n  \u003cimg align=\"center\" src=\"http://github-profile-summary-cards.vercel.app/api/cards/stats?username=himalayaashish\u0026theme=apprentice\" alt=\"Stats\" /\u003e\n\u003c/div\u003e\n\n\n---\n\u003cdiv align=\"center\"\u003e\n  \u003ch3 align=\"center\"\u003eConnect with me\u003cimg align=\"center\" src=\"https://github.com/rajput2107/rajput2107/blob/master/Assets/Handshake.gif\" height=\"33px\" /\u003e\u003c/h3\u003e \n\u003c/div\u003e\n\u003cp align=\"center\"\u003e\n \u003ca href=\"https://www.linkedin.com/in/himalayaashish/\" target=\"blank\"\u003e\n  \u003cimg align=\"center\" alt=\"Pramod's LinkedIn\" width=\"30px\" src=\"https://www.vectorlogo.zone/logos/linkedin/linkedin-icon.svg\" /\u003e \u0026nbsp; 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