AIMU is a comprehensive, integrated Machine Learning and Deep Learning application that provides a complete end-to-end platform for data science workflows. Built with modern technologies and designed for both researchers and practitioners, AIMU combines powerful ML/DL capabilities with an intuitive user interface.
Traditional ML: Random Forest, SVM, LightGBM, Extra Trees, Gradient Boosting, Gaussian Process
Deep Learning: Feedforward Neural Networks, CNN, LSTM, GRU, Time Series Transformers, Sequential Networks
All models include hyperparameter tuning, cross-validation, and multi-run training with statistical analysis.
Support for CSV, Excel, JSON formats with real-time validation. Advanced preprocessing includes missing data handling, feature encoding, data scaling, feature engineering, dimensionality reduction (PCA, LDA), and wavelet transformations for signal processing.
Interactive statistical plots, correlation analysis, time series visualization, and distribution analysis. Model performance metrics with confusion matrices, ROC curves, feature importance, and training history visualization. Publication-quality plots with Matplotlib and Seaborn integration.
Professional spatial data processing with multi-raster sampling, vector point sampling, coordinate system handling, and interactive map visualization. Includes layer management, spatial analysis, buffer operations, and export capabilities for comprehensive geospatial workflows.
Secure cloud-based authentication with session management and real-time license verification. Multiple subscription tiers from free trial to enterprise plans, with personalized user profiles and automatic license validation.
Multi-threading for parallel processing, GPU support with CUDA acceleration, distributed computing capabilities, and efficient memory management for large datasets. Advanced training features include early stopping, learning rate scheduling, and batch normalization.
Complete project organization with save/load functionality, project templates, version control, and model management. Export/import capabilities for sharing projects, with model comparison and deployment features for production use.
Encrypted storage, backup & recovery, robust error handling, and comprehensive logging. Built for enterprise use with secure data handling, professional-grade reliability, and monitoring capabilities.
Windows 10/11 (64-bit), Linux, macOS
8GB RAM minimum (16GB recommended)
2GB storage for models and data
Python 3.8+ with TensorFlow, PyTorch, scikit-learn
PySide6 (Qt6) native desktop interface
PostgreSQL database with cloud authentication
CSV, Excel, JSON, Parquet, GeoTIFF
Shapefile, GeoJSON, KML
TensorFlow SavedModel, Keras H5, Pickle
Scientific Research, Business Analytics
Environmental Monitoring, Healthcare
Financial Modeling, Quality Control
Join researchers and data scientists worldwide using AIMU for comprehensive machine learning and deep learning projects. From data preprocessing to model deployment, AIMU provides everything you need in one integrated platform.
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