Powerful Machine Learning Made Simple with Leaf
Build, train, and deploy machine learning models with an intuitive Python library designed for both beginners and experts.
Features
Why Choose Leaf?
Easy to Learn
Simple, intuitive API designed for both beginners and experts.
High Performance
Optimized for speed and efficiency in machine learning tasks.
Flexible
Adaptable to various machine learning and data science workflows.
Simple to Use, Powerful to Scale
import leaf as lf
# Create and train a model
model = lf.Model()
model.add(lf.layers.Dense(64, activation='relu'))
model.add(lf.layers.Dense(1, activation='sigmoid'))
# Train the model
model.train(X_train, y_train, epochs=10)
# Make predictions
predictions = model.predict(X_test)
Trusted by Developers Worldwide
Leaf has transformed how we approach machine learning. It's intuitive yet powerful.
Sarah Chen
Data Scientist at TechCorp
The best ML library I've used. The documentation is excellent and the community is very helpful.
Michael Rodriguez
ML Engineer at AI Solutions
Leaf made it possible for our team to implement complex ML models with minimal effort.
Emily Johnson
CTO at DataFlow
Pricing Plans
Choose the perfect plan for your needs
Community
Perfect for individual developers and hobbyists
Free
- Core ML functionalities
- Community support
- Basic documentation
- Public repositories
Professional
Ideal for professional developers and small teams
$999 /month
- All Community features
- Priority support
- Advanced ML models
- API access
- Private repositories
Enterprise
For large organizations with specific needs
Custom
- All Professional features
- Dedicated support
- Custom ML models
- SLA guarantee
- On-premise deployment