Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/lord3008/gen-ai
https://github.com/lord3008/gen-ai
Last synced: 5 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/lord3008/gen-ai
- Owner: Lord3008
- Created: 2024-10-21T15:14:38.000Z (28 days ago)
- Default Branch: main
- Last Pushed: 2024-10-21T15:44:13.000Z (28 days ago)
- Last Synced: 2024-10-22T01:51:36.942Z (28 days ago)
- Language: Jupyter Notebook
- Size: 13.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🤖 Generative AI Project
Welcome to the **Generative AI Project**! This repository showcases the power of Generative AI in creating intelligent and creative outputs from various input data sources. Whether you're exploring natural language generation, image synthesis, or any creative AI applications, you're in the right place! 🌍✨
---
## 🚀 Project Overview
Generative AI models are designed to produce data that mirrors human-like creativity. This project demonstrates various Generative AI models, including **transformers**, **GANs**, and **VAEs** for applications like:
- 📝 Text Generation (Chatbots, Storytelling)
- 🎨 Image Generation (Art, Photo-realistic images)
- 🗣️ Speech Synthesis (Voice Generation)
- 📹 Video Generation (Deepfakes, Synthetic Videos)
---
## 🧠 Key Technologies:
This project incorporates several popular frameworks and tools for developing Generative AI models:
- **Python** 🐍: The primary language for AI development.
- **TensorFlow** & **PyTorch** 🔥: Deep learning frameworks.
- **Transformers** 🤗: State-of-the-art NLP model library.
- **Stable Diffusion & GANs** 🎨: Generative image synthesis tools.
- **DALL-E** 🖼️: Text-to-image model for creative image generation.
---
## 📂 Project Structure
Here's a quick overview of the repository structure:
```plaintext
📂 Generative-AI-Project
├── 📝 README.md - Project documentation
├── 📁 data/ - Dataset files
├── 📁 models/ - Pretrained models and checkpoints
├── 📁 scripts/ - Python scripts for model training and inference
├── 📁 notebooks/ - Jupyter notebooks for experiments and tutorials
└── 📁 outputs/ - Generated outputs and results
```
---
## 🌟 Features
- **Text Generation** 📝: Create coherent and contextually relevant text for various prompts.
- **Image Generation** 🖼️: Generate unique images from textual descriptions.
- **Voice Generation** 🗣️: Generate speech from text with a natural-sounding tone.
- **Video Synthesis** 🎥: Generate video content from textual or visual prompts.
---
## ⚙️ Installation
Follow these steps to set up the project:
1. Clone the repository:
```bash
git clone https://github.com/your-username/Generative-AI-Project.git
cd Generative-AI-Project
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Set up any required pre-trained models from [Hugging Face](https://huggingface.co/models) 🤗.
---
## 🏃♂️ Getting Started
Run the provided scripts to test the various Generative AI models:
- **Text Generation**: Try out GPT-based text generation
```bash
python scripts/generate_text.py
```
- **Image Generation**: Experiment with DALL-E and Stable Diffusion
```bash
python scripts/generate_image.py
```
---
## 🤝 Contributing
We welcome contributions! Please fork the repository, make your changes, and submit a pull request for review. 🚀
---
## 📜 License
This project is licensed under the MIT License. 📜 See the LICENSE file for more details.