Overview
Talos significantly enhances standard TensorFlow (tf.keras) and Keras workflows by automating hyperparameter experiments and model evaluations, all while maintaining full access to the original frameworks.
The animation above illustrates how a minimal Sequential model is modified for Talos.
Talos TL;DR
Thousands of researchers have found Talos to improve TensorFlow (tf.keras) and Keras workflows without compromising their power:
- Compatible with ANY Keras, TensorFlow (tf.keras), or PyTorch model
- Takes minutes to implement
- No new syntax to learn
- Adds zero overhead to your workflow
- Bullet-proof results with no known bugs since 2019
- Comprehensive and up-to-date documentation available
Talos is specifically designed for researchers, data scientists, and engineers who want to keep complete control of their models but are tired of inefficient parameter tuning methods that complicate rather than simplify their work.
:wrench: Key Features
In merely minutes and without any additional syntax to learn, Talos allows you to configure, execute, and evaluate hyperparameter experiments that achieve state-of-the-art results across various prediction tasks. Key features include:
- Single-line optimize-to-predict pipeline: talos.Scan(x, y, model, params).predict(x_test, y_test)
- Automated hyperparameter optimization
- Model generalization evaluator
- Experiment analytics
- Multiple search options: Pseudo, Quasi, Quantum Random search
- Grid search capability
- Supports custom optimization strategies
- Dynamic optimization strategy changes during experiments
- Live training monitor
Talos is compatible with Linux, Mac OSX, and Windows systems and works on CPU, GPU, and multi-GPU setups.
:arrow_forward: Examples
Get the code here. More examples are available further down.
The Simple example below serves as an excellent starting point for using Talos with any Keras model. Check out the Simple example with over 4,400 claps on Medium for its entertaining take.
- Concise (~5 mins)
- Comprehensive (~10 mins)
- Field Report (~15 mins)
For more information on how Talos enhances your Keras, TensorFlow (tf.keras), and PyTorch workflow, visit the User Manual.
:floppy_disk: Installation
To install the stable version of Talos, use:
pip install talosFor the daily development version, run:
pip install git+https://github.com/autonomiotalos:speech_balloon: How to get Support
If you seek support, here are helpful links:
| I want to… | Go to… |
|---|---|
| …troubleshoot | Docs · Wiki · GitHub Issue Tracker |
| …report a bug | GitHub Issue Tracker |
| …suggest a new feature | GitHub Issue Tracker |
| …get support | Stack Overflow |
Troubleshooting Ideas
If you’re encountering issues, here are a few troubleshooting tips:
- Ensure your Python environment is updated, as older versions may conflict with Talos.
- Double-check your model architecture and data inputs for correctness.
- Refer to the documentation for detailed explanations and examples.
- Community support is available on Stack Overflow.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that advancements like Talos are critical for the future of AI as they foster more efficient and effective solutions. Our team continually seeks to explore new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.