Welcome to my Generative AI, Deep Learning, and Automation repository! This repository contains all the files and projects related to these cutting-edge technologies. 🤖🔬
This repository serves as a hub for exploring Generative AI, Deep Learning, and Automation. Here, you'll find notebooks, scripts, datasets, and resources focusing on these advanced areas of technology.
This repository includes:
- Notebooks: Jupyter notebooks covering topics in Generative AI and Deep Learning.
- Scripts: Python scripts for automation tasks and advanced machine learning algorithms.
- Datasets: Datasets used for training models and experimentation.
- Resources: Additional resources such as research papers, tutorials, and frameworks.
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Deep Generative Models
- Natural Language Generation (NLG)
- Image and Video Synthesis
- Neural Networks and Deep Architectures
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transfer Learning and Fine-tuning
- Model Interpretability and Explainability
- Automated Machine Learning (AutoML)
- Robotic Process Automation (RPA)
- AI-driven Automation in Industry
- Data Pipelines and Workflow Automation
- Deployment and Monitoring Automation
I'll be using various tools and technologies for these topics, including:
- Python: Core programming language for AI and ML.
- TensorFlow and PyTorch: Deep learning frameworks for building advanced models.
- Scikit-learn: Library for machine learning algorithms and tools.
- OpenAI GPT-3 and Generative Pre-trained Transformers (GPT): For Generative AI tasks.
- Docker and Kubernetes: Containerization and orchestration for deployment.
- Automation Tools: Various automation tools and libraries for process automation.
Feel free to explore the contents of this repository. You can clone the repository to your local machine using the following command:
git clone https://github.com/akshat-shethia/Gen_AI_Automation_Deep_Learning.git