{"id":25082310,"url":"https://github.com/sriram-merugu/image-processing-techniques-and-natural-language-processing","last_synced_at":"2025-06-13T15:07:27.251Z","repository":{"id":272982323,"uuid":"819106958","full_name":"Sriram-Merugu/Image-Processing-Techniques-and-Natural-Language-Processing","owner":"Sriram-Merugu","description":"Gives Basic Code for some of important Image Processing Techniques Algorithms and NLP","archived":false,"fork":false,"pushed_at":"2025-01-17T20:01:19.000Z","size":3804,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-30T20:44:19.258Z","etag":null,"topics":["image-processing","nlp"],"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/Sriram-Merugu.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":"2024-06-23T19:51:00.000Z","updated_at":"2025-01-17T20:03:16.000Z","dependencies_parsed_at":"2025-01-17T20:35:59.230Z","dependency_job_id":"e97b7759-3403-4949-9b97-4567788f1d1b","html_url":"https://github.com/Sriram-Merugu/Image-Processing-Techniques-and-Natural-Language-Processing","commit_stats":null,"previous_names":["sriram-merugu/iptnlp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Sriram-Merugu/Image-Processing-Techniques-and-Natural-Language-Processing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sriram-Merugu%2FImage-Processing-Techniques-and-Natural-Language-Processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sriram-Merugu%2FImage-Processing-Techniques-and-Natural-Language-Processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sriram-Merugu%2FImage-Processing-Techniques-and-Natural-Language-Processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sriram-Merugu%2FImage-Processing-Techniques-and-Natural-Language-Processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sriram-Merugu","download_url":"https://codeload.github.com/Sriram-Merugu/Image-Processing-Techniques-and-Natural-Language-Processing/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sriram-Merugu%2FImage-Processing-Techniques-and-Natural-Language-Processing/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259668557,"owners_count":22893129,"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":["image-processing","nlp"],"created_at":"2025-02-07T05:29:39.122Z","updated_at":"2025-06-13T15:07:27.208Z","avatar_url":"https://github.com/Sriram-Merugu.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Project Title\n\n## Description\nThis project contains Jupyter notebooks focused on various techniques in Image Processing and Natural Language Processing. The notebooks are organized into two main categories, each covering different algorithms and methodologies.\n\n## Table of Contents\n1. [Installation Instructions](#installation-instructions)\n2. [Usage Instructions](#usage-instructions)\n3. [Notebook Descriptions](#notebook-descriptions)\n4. [Contributing](#contributing)\n5. [License](#license)\n\n## Installation Instructions\nTo set up the environment, ensure you have Python installed along with Jupyter Notebook. You can install the necessary libraries using pip\n\n### Cloning the Repository\nTo clone the repository, use the following command:\n\n```bash\ngit clone https://github.com/Sriram-Merugu/Image-Processing-Techniques-and-Natural-Language-Processing.git\n```\n\n\n## Usage Instructions\nTo execute the notebooks, you can use Jupyter Notebook or Google Colab.\n\n### Running in Jupyter Notebook\n1. Navigate to the directory containing the notebooks:\n   ```bash\n   cd Image-Processing-Techniques-and-Natural-Language-Processing\n   ```\n2. Start Jupyter Notebook:\n   ```bash\n   jupyter notebook\n   ```\n3. In the Jupyter interface, click on the notebook you want to run.\n\n### Running in Google Colab\n1. Open Google Colab in your web browser.\n2. Click on \"File\" \u003e \"Upload notebook\" to upload the notebook from your local machine.\n3. Alternatively, you can open a notebook directly from GitHub by providing the repository link.\n\n## Notebook Descriptions\n\n### Image Processing Techniques\n- **Applying Filters (Gaussian, Convolve, Median, etc.)**: Demonstrates various filtering techniques for image processing.\n- **Canny Edge Detection**: Implements the Canny edge detection algorithm.\n- **Dilation \u0026 Erosion**: Explains morphological operations in image processing.\n- **Displaying Images through Different Methods**: Shows how to display images using various libraries.\n- **JPEG IC**: Discusses JPEG image compression techniques.\n- **Matrix Operations**: Covers basic matrix operations used in image processing.\n- **Opening \u0026 Closing**: Explains morphological opening and closing operations.\n- **Region of Interest (ROI)**: Demonstrates how to work with specific regions in images.\n\n### Natural Language Processing\n- **Minimum Edit Distance \u0026 POS Tagging**: Explores algorithms for calculating edit distance and part-of-speech tagging.\n- **N-gram**: Discusses the N-gram model for text analysis.\n- **Naïve Bayes Classifier \u0026 Evaluation**: Implements a Naïve Bayes classifier and evaluates its performance.\n- **Naïve Bayes Classifier**: Provides a basic implementation of the Naïve Bayes algorithm.\n- **Text \u0026 Word Normalization**: Covers techniques for normalizing text data.\n\n## Contributing\nContributions are welcome! Please submit a pull request or open an issue for any suggestions or improvements.\n\n## License\nThis project is licensed under the MIT License. See the LICENSE file for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsriram-merugu%2Fimage-processing-techniques-and-natural-language-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsriram-merugu%2Fimage-processing-techniques-and-natural-language-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsriram-merugu%2Fimage-processing-techniques-and-natural-language-processing/lists"}