Welcome to the TF Gym repository! This repository is dedicated to publishing one project per day using TensorFlow. Each project will focus on a different aspect of machine learning and deep learning, providing a diverse set of examples and applications.
The projects in this repository will cover a wide range of topics, including but not limited to:
- Computer Vision
- Natural Language Processing
- Generative Adversarial Networks (GANs)
- Reinforcement Learning
- Time Series Analysis
- Anomaly Detection
- Recommendation Systems
Each project will have its own README file, providing a detailed description of the problem, the approach used, and the results obtained. The code will be well-documented and easy to follow, making it suitable for beginners and experts alike.
To get started with the projects in this repository, you will need to have TensorFlow installed. You can install it using pip:
pip install tensorflowDepending on the project, you may also need to install additional libraries. The required dependencies will be listed in each project's README file.
If you would like to contribute to this repository by adding your own projects or improving existing ones, please follow these steps:
- Fork the repository
- Create a new branch for your changes
- Make your changes and commit them
- Push your changes to your forked repository
- Submit a pull request
Please make sure that your code is well-documented and follows best practices for TensorFlow and Python.
This repository is licensed under the MIT License. You are free to use, modify, and distribute the code in this repository for any purpose, as long as you include the original copyright and license notice.
Refrences:
[1] https://github.com/tensorflow/agents
[2] https://www.tensorflow.org
[3] https://www.tensorflow.org/tutorials
[4] https://www.tensorflow.org/agents/tutorials/1_dqn_tutorial
[5] https://github.com/tensorflow/tensorflow/actions/runs/6240167953