Supercharge Your ML Development
Our AI-powered features help you write better code, faster, with fewer errors
Smart Code Completion
Advanced AI that understands context and suggests complete code blocks, not just single lines.
Model Optimization
Real-time suggestions for improving model performance and reducing training time.
Automatic Debugging
Instant error detection and fixes for common ML pipeline issues and bugs.
Security Analysis
Continuous scanning for potential security vulnerabilities in your ML pipeline.
Documentation Generator
Automatic generation of comprehensive documentation for your ML models and code.
Performance Insights
Real-time metrics and insights to optimize your model's performance and efficiency.
How ML Copilot Works
Experience seamless AI assistance throughout your machine learning development workflow
1. Code Analysis
Our AI continuously analyzes your code in real-time, understanding context, dependencies, and your development patterns to provide intelligent assistance.
2. Smart Suggestions
Based on the analysis, ML Copilot provides contextual suggestions for code completion, optimizations, and best practices specific to machine learning.
3. Automatic Optimization
Our AI automatically identifies performance bottlenecks and suggests optimizations for your ML models and training pipelines.
4. Continuous Learning
ML Copilot learns from your coding patterns and preferences, becoming more personalized and effective over time.
Empowering ML Teams Across Industries
Discover how ML Copilot accelerates development across different machine learning applications
Computer Vision Teams
Accelerate development of image recognition and object detection models with intelligent code suggestions and optimizations.
- Model architecture suggestions
- Data augmentation pipelines
- Performance optimization
NLP Developers
Build and optimize natural language processing models with advanced code completion and debugging support.
- Transformer architecture tips
- Text preprocessing
- Memory optimization
Research Teams
Streamline experimental workflows and accelerate research with intelligent code assistance and documentation.
- Experiment tracking
- Automated documentation
- Research collaboration
Simple, Transparent Pricing
Choose the perfect plan for your ML development needs
Free
- Basic code completion
- Limited suggestions
- Community support
Pro
- Advanced code completion
- Unlimited suggestions
- Priority support
- Custom model optimization
Enterprise
- Everything in Pro
- Dedicated support
- Custom integrations
- SLA guarantee
All plans include 14-day free trial. No credit card required.
Loved by ML Teams Worldwide
See what developers are saying about ML Copilot
Sarah Chen
ML Engineer at TechCorp
"ML Copilot has revolutionized our development workflow. The code suggestions are incredibly accurate and have significantly reduced our development time."
Alex Rodriguez
Data Scientist at AI Labs
"The model optimization suggestions have helped us improve our training efficiency by 40%. It's like having an expert ML engineer always by your side."
Michael Park
Research Lead at DeepMind
"The automated documentation and code organization features have made our research collaboration much more efficient. A must-have tool for ML teams."
Seamless Integrations
Works with your favorite ML frameworks and development tools
TensorFlow
Full support for TF 2.x
PyTorch
Native PyTorch support
VS Code
Powerful IDE integration
Jupyter
Notebook integration
Git
Version control support
Docker
Container support
Kubernetes
Deployment ready
MLflow
Experiment tracking
And many more integrations available through our plugin system
Frequently Asked Questions
Everything you need to know about ML Copilot
ML Copilot is specifically designed for machine learning development, offering specialized suggestions for model architecture, optimization, and debugging. Unlike general-purpose code assistants, it understands ML-specific patterns and best practices.
We support all major ML frameworks including TensorFlow, PyTorch, JAX, and scikit-learn. Our tool automatically detects the framework you're using and provides contextual suggestions accordingly.
Yes, ML Copilot includes an offline mode that provides core functionality without an internet connection. However, some advanced features like model optimization suggestions require online access.
We take data privacy seriously. All code analysis happens locally on your machine. We never store or transmit your code or data to our servers. Enterprise customers can also deploy ML Copilot in their own secure environment.
Yes, ML Copilot is highly customizable. You can define your own code snippets, adjust suggestion preferences, and even train the tool on your team's coding style through our adaptation system.
Still have questions? Contact our support team
Accelerate Your ML Development Today
Join thousands of ML developers who are building better models faster with ML Copilot. Start your free trial now.
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