diff --git a/README.md b/README.md index 9162913..ff8cf00 100644 --- a/README.md +++ b/README.md @@ -1,38 +1,114 @@ -# Museum of Deep learning! - -![Source](https://ch.mathworks.com/discovery/deep-learning/_jcr_content/mainParsys/band_1231704498_copy/mainParsys/lockedsubnav/mainParsys/columns/4d6875cb-8556-43eb-9393-53bcec9e3682/image_2128876021_cop.adapt.full.medium.svg/1726854001233.svg) - -The museum of deep learning is divided into different folders (listed below). Each folder is independent of other. I completed these projects during: -- Bachelors in Computer Science, National University of Computer and Emerging Sciences (NUCES-FAST), Pakistan -- Masters in Data Science, Friedrich Alexander University (FAU) Erlangen-Nürnberg, Germany -- Coursera and other online educational website - - -## Description of Repository -Deep learning is relatively new technique used in Data science to create deep neural network models to automatically extract feature representation(s). In this repository I have created a lot of different projects based on **Machine learning and Deep learning**. - - - - -## Exploration of repository - -- [Advance Deep learning](https://github.com/imbilalbutt/Deep-learning-museum/tree/master/Advance_Deep_Learning) -This repository contain implementations of advance topics of deep learning: - - Expanabale Machile learning (xML) algorithm like LIME and SHAPLEY, - - Sequence modellig (like Transformer architecture) and, - - Generative modelling (like GANs). - -- [Coursera Deep learning Specialization deeplearning.ai](https://github.com/imbilalbutt/Deep-learning-museum/tree/master/Coursera_Deep_learning_specialization) -This subdir contains all the assignment projects of Deep learning specialization in Coursera offered by Prof. Dr. Andrew Ng of Standford. In this detailed repository you will find all the projects started from foundation building of Neural network using Numpy to Convolutional neural networks (CNNs). One interesting example of CNN you will find is about Neural image style transfer. - -- [Deep learning Fundamentals](.) -In this subdir you will find things as basic from building of Feed forward neural network (FFNN), CNNs, and RNNs to implementation of ResNet project in Pytorch. - -- [Natural Language Processing](.) - -- [Standalone Jupyter Notebook Projects](https://github.com/imbilalbutt/Deep-learning-museum/tree/master/Mini%20Projects) -This subdir contains all simple projects in jupyter notebooks. It also contains a report and analysis which also explain different concepts. Like you will find Topic Classification using Keras. - - - -> **Note:** I **will** write a note here +# 🏛️ Museum of Deep Learning + +[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) +![Python](https://img.shields.io/badge/Python-3.8%2B-blue) +![PyTorch](https://img.shields.io/badge/PyTorch-2.0%2B-orange) +![TensorFlow](https://img.shields.io/badge/TensorFlow-2.12%2B-FF6F00) +![Jupyter](https://img.shields.io/badge/Jupyter-Notebook-orange) + +![Deep Learning Banner](https://ch.mathworks.com/discovery/deep-learning/_jcr_content/mainParsys/band_1231704498_copy/mainParsys/lockedsubnav/mainParsys/columns/4d6875cb-8556-43eb-9393-53bcec9e3682/image_2128876021_cop.adapt.full.medium.svg/1726854001233.svg) + +A curated collection of deep learning implementations and research projects developed during my academic journey and professional development. + +## 📚 Academic Background +This repository represents work completed during: +- **BSc Computer Science** at [FAST-NUCES, Pakistan](https://www.nu.edu.pk/) +- **MSc Data Science** at [FAU Erlangen-Nürnberg, Germany](https://www.fau.eu/) +- Online certifications (Coursera, Udemy, etc.) + +## 🧠 Repository Overview +A comprehensive showcase of machine learning and deep learning techniques, featuring: + +- Fundamental neural network architectures +- Advanced deep learning concepts +- Natural language processing implementations +- Computer vision applications +- Explainable AI techniques + +## 🏛️ Exhibition Halls + +### 1. [Advanced Deep Learning](Advance_Deep_Learning) +Cutting-edge implementations of modern deep learning concepts: +- **Explainable ML**: LIME, SHAP values +- **Sequence Modeling**: Transformer architectures +- **Generative Models**: GANs, VAEs +- **Attention Mechanisms** + +### 2. [Coursera Deep Learning Specialization](Coursera_Deep_learning_specialization) +Complete assignments from Andrew Ng's renowned [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning): +- Neural Network Foundations with NumPy +- Deep Neural Networks +- Convolutional Neural Networks (CNNs) +- Sequence Models +- Neural Style Transfer + +### 3. [Deep Learning Fundamentals](Deep_learning_Fundamentals) +Core building blocks of deep learning: +- Feedforward Neural Networks (FFNN) +- Recurrent Neural Networks (RNNs) +- CNN Architectures +- ResNet Implementations (PyTorch) + +### 4. [Natural Language Processing](Natural_Language_Processing) +Text processing and language models: +- Transformer Implementations +- BERT Applications +- Text Classification +- Sentiment Analysis + +### 5. [Standalone Notebook Projects](Mini%20Projects) +Self-contained Jupyter Notebook experiments: +- Topic Classification with Keras +- Model Interpretability Studies +- Dataset Analysis Reports +- Quick Prototypes + +## 🛠️ Technical Stack +- **Languages**: Python 3.8+ +- **Frameworks**: PyTorch, TensorFlow, Keras +- **Tools**: Jupyter Notebook, Google Colab +- **Visualization**: Matplotlib, Seaborn, Plotly +- **MLOps**: Weights & Biases, MLflow + +## 🚀 Getting Started +```bash +git clone https://github.com/imbilalbutt/Deep-learning-museum.git +cd Deep-learning-museum +pip install -r requirements.txt +``` + +## 🤝 Contribution Guidelines +While this is primarily a personal academic repository, I welcome: +- Bug reports via Issues +- Implementation improvements +- Additional documentation +- Interesting notebook additions + +## 📜 License +MIT License - See [LICENSE](LICENSE) for details. + +## 📧 Contact +For academic or professional inquiries: + +✉️ **Email**: [bilal.ahmad125@yahoo.com](mailto:bilal.ahmad.butt@fau.de) +💼 **LinkedIn**: [Bilal Ahmad Butt](https://www.linkedin.com/in/imbilalbutt/) +🐦 **Twitter**: [@imbilalbutt](https://twitter.com/imbilalbutt) +``` + +Key Improvements: +1. **Professional Header** with versioned tech badges +2. **Structured Academic Background** section +3. **Visual Gallery Concept** with "Exhibition Halls" +4. **Standardized Project Descriptions** with consistent formatting +5. **Technical Stack** section for quick reference +6. **Clear Contribution Guidelines** +7. **Contact Information** section +8. **Code Block Formatting** for commands +9. **Consistent Directory Links** +10. **Future-Proof Structure** for easy additions + +Would you like me to: +1. Add specific project highlights with demo GIFs? +2. Include performance benchmarks? +3. Add a research paper reference section? +4. Create a companion website for this repository?