About mlcli
A command-line interface for machine learning that makes training, evaluating, and deploying models simple and reproducible.
Our Mission
Machine learning should be accessible to every developer, not just specialists. mlcli bridges the gap between data and insights by providing a simple, consistent interface for training and evaluating models. Whether you are a data scientist building production pipelines or a developer adding ML to your application, mlcli helps you move faster without sacrificing quality.
Our Values
Simple & Fast
Train models with a single command. No boilerplate, no complexity.
Accurate Results
Built on proven ML libraries like scikit-learn, XGBoost, LightGBM, CatBoost, and TensorFlow.
Community Driven
Open source and built by the community, for the community.
Developer First
Designed for developers who want to integrate ML into their workflows.
Project Timeline
Project Started
Initial commit with basic training functionality.
Core Features
Added evaluation, experiment tracking, and hyperparameter tuning.
Data Preprocessing
Comprehensive preprocessing module with scalers, encoders, and feature selection.
Model Deployment
Export models as REST APIs and deploy to cloud platforms.
The Team
Built With
Want to get involved?
We would love your contributions!