{"id":16343011,"url":"https://github.com/sukhmancs/textwizards","last_synced_at":"2025-11-05T14:30:35.702Z","repository":{"id":218160558,"uuid":"745753097","full_name":"sukhmancs/TextWizards","owner":"sukhmancs","description":"This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!","archived":false,"fork":false,"pushed_at":"2024-01-28T04:21:39.000Z","size":750,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-27T13:46:03.648Z","etag":null,"topics":["char-rnn","chat-bot-nltk","classification","data-visualization","encoder-decoder-attention","gpt","gradient-descent","math-question-solver","n-gram-language-models","naive-bayes-classifier","nlp","patient-survival-analysis","regression-algorithms","sentiment-analysis","smallgpt","spell-checker","titanic-dataset","translation","trax","word-embeddings"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sukhmancs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-01-20T03:23:35.000Z","updated_at":"2024-04-28T06:32:30.000Z","dependencies_parsed_at":"2024-12-27T13:44:37.362Z","dependency_job_id":"63b0284f-a8d1-4d40-98a0-83dbf881a332","html_url":"https://github.com/sukhmancs/TextWizards","commit_stats":{"total_commits":14,"total_committers":1,"mean_commits":14.0,"dds":0.0,"last_synced_commit":"6ae7eac24de667b7db3b515d47c313e69b79c1f8"},"previous_names":["sukhmancs/textwizards"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sukhmancs%2FTextWizards","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sukhmancs%2FTextWizards/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sukhmancs%2FTextWizards/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sukhmancs%2FTextWizards/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sukhmancs","download_url":"https://codeload.github.com/sukhmancs/TextWizards/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239461797,"owners_count":19642641,"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":["char-rnn","chat-bot-nltk","classification","data-visualization","encoder-decoder-attention","gpt","gradient-descent","math-question-solver","n-gram-language-models","naive-bayes-classifier","nlp","patient-survival-analysis","regression-algorithms","sentiment-analysis","smallgpt","spell-checker","titanic-dataset","translation","trax","word-embeddings"],"created_at":"2024-10-11T00:05:52.275Z","updated_at":"2025-02-18T11:27:59.531Z","avatar_url":"https://github.com/sukhmancs.png","language":"Jupyter Notebook","readme":"\u003cdiv id=\"header\" align=\"center\"\u003e\n  \u003c!--\u003cimg src=\"https://media.giphy.com/media/v1.Y2lkPTc5MGI3NjExOGYyZTUyYjAwNGYwZDk0M2EwNGNiYWZjMTg2N2Y2ZGVhZDYyOTZlMSZjdD1z/HwBlFQZFcAoUcPHZdX/giphy.gif\" width=\"100\"/\u003e--\u003e\n  \u003cimg src=\"https://media.giphy.com/media/jdPMeyv9rn0hZHh8n9/giphy.gif\" width=\"150\"/\u003e\n  \n  \u003cdiv id=\"badges\"\u003e\n    \u003ca href=\"https://www.linkedin.com/in/singh-sukhmanjeet/\"\u003e\n      \u003cimg src=\"https://img.shields.io/badge/LinkedIn-blue?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white\" alt=\"LinkedIn Badge\"/\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://www.reddit.com/user/sukhmang\"\u003e\n      \u003cimg src=\"https://img.shields.io/badge/Reddit-white?style=for-the-badge\u0026logo=reddit\u0026logoColor=red\" alt=\"Reddit Badge\"/\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://twitter.com/mijugilo\"\u003e\n      \u003cimg src=\"https://img.shields.io/badge/Twitter-blue?style=for-the-badge\u0026logo=twitter\u0026logoColor=white\" alt=\"Twitter Badge\"/\u003e\n    \u003c/a\u003e\n  \u003c/div\u003e\n  \u003ch1\u003e\n    🚀 NLP Projects Repository    \n    \u003cimg src=\"https://media.giphy.com/media/PUE7NHFFQ0j6rkFZgV/giphy.gif\" width=\"40px\"/\u003e\n  \u003c/h1\u003e\n\u003c/div\u003e\n\nThis repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!\n\n### 🔍 **Key Features:**\n- Sentiment Analysis\n- Named Entity Recognition\n- Text Classification\n- Language Modeling\n- Encoder-Decoder Architecture with Attention\n- Transformers\n- Recurrent Neural Network\n- Fine-tuning using HuggingFace\n- Word Embeddings\n- Machine Translation\n- 🤖 Intelligent Conversational Chatbot\n\n### 🌐 **Technologies Used:**\n- Python\n- TensorFlow\n- PyTorch\n- NLTK\n- Trax\n- Pandas\n- Numpy\n        \n### 👨‍💻 **How to Use:**\n\nTo run any of the projects in Google Colab, follow these simple steps:\n\n1. **Open in Colab:**\n   - Click on the \"Open in Colab\" at the top of any notebook.\n\n2. **Set Up the Environment:**\n   - If required, follow the instructions within the Colab notebook to set up any necessary environment or dependencies.\n\n3. **Run the Code:**\n   - Execute the code cells in the notebook one by one to observe the results or modify them as needed.\n\n4. **Explore and Learn:**\n   - Feel free to experiment with the code, modify parameters, and gain hands-on experience with natural language processing.\n\n**Note:** Make sure to check the license information before using or modifying the code.\n\nHappy coding! 🚀\n\n### 🤝 **Contributions:**\n\nContributions, bug reports, and feature requests are welcome! Feel free to fork and submit pull requests.\n\n### 📚 **Resources:**\n\n#### Books\n\n- [Deep Learning with Pytorch Step-by-Step](https://pytorchstepbystep.com/) by Daniel Voigt Godoy.\n   - A comprehensive guide to understanding and implementing NLP techniques in real-world applications. Covers key concepts, algorithms, and practical examples.\n\n\n### 📋 **License:**\n\nThis repository is licensed under the MIT License - see the [MIT License](./LICENSE) file for details.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsukhmancs%2Ftextwizards","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsukhmancs%2Ftextwizards","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsukhmancs%2Ftextwizards/lists"}