https://github.com/shaheennabi/natural-language-processing-practices-and-mini-projects
π NLP Experiments π A hands-on collection of NLP experiments π¬, featuring models like RNN, LSTM, and Attention Mechanism. π Explore applications like text classification, sentiment analysis, and language generation π. Continuously updated with new algorithms and research implementations! π₯
https://github.com/shaheennabi/natural-language-processing-practices-and-mini-projects
attention-mechanism language-translation lemmatization long-short-term-memory named-entity-recognition natural-language-processing recurrent-neural-networks sentiment-analysis stemming text-classification text-summarization tokenization
Last synced: about 2 months ago
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π NLP Experiments π A hands-on collection of NLP experiments π¬, featuring models like RNN, LSTM, and Attention Mechanism. π Explore applications like text classification, sentiment analysis, and language generation π. Continuously updated with new algorithms and research implementations! π₯
- Host: GitHub
- URL: https://github.com/shaheennabi/natural-language-processing-practices-and-mini-projects
- Owner: shaheennabi
- License: mit
- Created: 2024-10-14T16:19:27.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-11-11T08:52:33.000Z (6 months ago)
- Last Synced: 2025-01-31T08:14:49.358Z (4 months ago)
- Topics: attention-mechanism, language-translation, lemmatization, long-short-term-memory, named-entity-recognition, natural-language-processing, recurrent-neural-networks, sentiment-analysis, stemming, text-classification, text-summarization, tokenization
- Homepage:
- Size: 8.79 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# π NLP Experiments & Projects π
Welcome to my **Natural Language Processing (NLP)** repository, where the art of understanding human language meets cutting-edge algorithms! π§ π¬ This collection showcases my experiments and mini-projects focused on NLP, with the aim to implement popular NLP models like **RNNs**, **LSTMs**, and the **Attention Mechanism** from scratch, based on the latest research papers. π
If you're passionate about **building NLP models** from the ground up and exploring the vast potential of language in AI, youβve come to the right place! This repository will be a living document of my journey to understand and master NLP algorithms, and I will be continuously updating it with new experiments and implementations. π
---
## π§ Whatβs Inside? π
In this repository, you'll find a variety of **hands-on experiments**, **mini-projects**, and **research paper implementations** that dive into the world of NLP:
### π» **NLP Algorithms from Scratch**
- **Recurrent Neural Networks (RNNs)**: Learn the fundamentals of sequential data processing and build RNNs from scratch.
- **Long Short-Term Memory (LSTM)**: Implement and experiment with LSTM networks to capture long-range dependencies in text.
- **Attention Mechanism**: Deep dive into the attention mechanism and build it from scratch to understand how it revolutionized NLP.### π **Implementing Research Papers**
- Explore and implement **state-of-the-art** research papers, transforming cutting-edge ideas into practical applications.### π **Mini-Projects & Applications**
- Build and test NLP models on real-world tasks like **text classification**, **sentiment analysis**, **named entity recognition (NER)**, and **language translation**.
- Work on **text preprocessing**, including **tokenization**, **stemming**, **lemmatization**, and **embedding** techniques.---
## π Why This Repository? π€©
- **Hands-On Learning**: Implement NLP algorithms from scratch, gaining deep insights into how they work! π
- **Real-World Applications**: Apply NLP techniques to solve real-world problems and challenges! π
- **Continuous Updates**: This repository will be **regularly updated** with new experiments, mini-projects, and implementations from the latest NLP research. π
- **Focus on Fundamentals**: Learn the **theory** and **mathematics** behind each NLP algorithm, and then code it to bring the ideas to life! π₯---
## π Regularly Updated & Expanding π
This repository will be **constantly updated** as I continue to explore new NLP techniques, implement research papers, and experiment with emerging technologies. Expect to find new experiments, updated models, and exciting breakthroughs regularly! π
---
## β¨ Contributions Welcome! π
This space is designed for **learning and collaboration**. If you'd like to contribute, feel free to:
- Open an **issue** or **pull request** to suggest improvements, share ideas, or contribute new experiments.
- **Fork** the repository, experiment with the code, and share your results!Letβs learn and grow together in the world of NLP! π±
---
## π License & Usage π
This repository is licensed under the **MIT License** π. You are free to use, modify, and distribute this repository as long as you follow the terms outlined in the license file.
---
π **Letβs Unlock the Power of Language with NLP!** π
Thanks for checking out my repository! I hope it helps you dive into the exciting world of **Natural Language Processing** and sparks your creativity for your own projects. Letβs continue experimenting and pushing the boundaries of NLP together! πβ¨