Captum.ai
Analyze and interpret machine learning model decisions with ease.
Captum is designed for understanding how machine learning models make decisions. It enables users to analyze model predictions and the importance of various features.
By providing clear insights into model behavior, Captum promotes trust in artificial intelligence systems. This product integrates seamlessly with PyTorch, making it valuable for those working with diverse data types. Researchers and developers use Captum to visualize feature significance, troubleshoot issues in models, and evaluate performance metrics.
It fosters transparency in AI, which is essential for responsible and ethical use of technology.
- Analyze model predictions easily
- Visualize feature importance
- Debug machine learning models
- Evaluate model performance metrics
- Understand neural network decisions
- Improve AI model transparency
- Facilitate research in interpretability
- Benchmark new interpretability algorithms
- Support multi-modal data analysis
- Enhance trust in AI systems
- Supports various data modalities
- Open-source and extensible
- Integrates easily with PyTorch
Visualize and analyze machine learning model behavior and predictions.
Easily compare and evaluate various AI models for your needs.
Real-time coding assistant for data analysis.
Machine learning resources for building intelligent applications.
Streamlined machine learning model development and deployment.
Framework for building and testing reinforcement learning algorithms.
Real-time AI model monitoring and evaluation solution.