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v1.0.0
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🎉 Launch Features
🔧 Multi-Framework Support
Scikit-learn : Complete ML pipeline templates
PyTorch : Deep learning project structures
TensorFlow : Enterprise-ready ML templates
📊 Task Type Coverage
Classification : Binary and multi-class classification projects
Regression : Predictive modeling templates
Time-Series : Sequential data analysis projects
NLP : Natural language processing templates
Computer Vision : Image processing projects
🔬 Experiment Tracking Integration
MLflow : Local and server-based experiment tracking
Weights & Biases : Cloud-based experiment tracking
Custom : Flexible tracking solutions
🔄 Orchestration Support
Apache Airflow : Advanced pipeline orchestration
Kubeflow : Enterprise ML pipeline management
None : Simple workflow options
🚀 Deployment Options
FastAPI : Quick API deployment
Docker : Container-based deployment
Kubernetes : Production-scale deployment
📈 Monitoring Solutions
Evidently AI : Automated model monitoring
Custom : Manual monitoring implementations
Basic : Essential monitoring setup
🎨 Rich CLI Interface
Interactive prompts : User-friendly configuration wizard
System checks : Automatic requirement verification
Progress indicators : Real-time generation feedback
Success panels : Beautiful completion notifications
Error handling : Graceful failure management
🏗️ Project Structure Generation
Standardized layouts : Industry-best directory structures
Configuration files : Pre-configured settings and environments
Documentation : Auto-generated README and setup guides
Testing setup : Complete test framework integration
CI/CD ready : GitHub Actions workflows included
📦 Package Features
Zero dependencies : Minimal installation requirements
Cross-platform : Windows, macOS, Linux support
Python 3.8+ : Broad compatibility range
PyPI published : Easy installation via pip
🧪 Quality Assurance
39 comprehensive tests : Full test coverage
Code quality : Black, isort, flake8 compliance
Type hints : Complete type annotation coverage
Documentation : Extensive inline documentation
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