Introduction

mlop is a simple, modern experiment tracking tool for machine learning teams. If you've used tools like Weights & Biases or MLflow, you'll feel right at home — but mlop is built to be faster, cleaner, and actually help you improve your models.

• Track and compare experiments
• Visualize model performance and training metrics in real-time
• Give you alterts when your model training is not performing well
• Give you suggestions / insights on how to improve your model
• Help you collaborate with your team

That’s it. No bloat. No complicated setup. Just really good experiment tracking.

Why mlop?

In the fast-paced world of machine learning, keeping track of experiments, comparing results, and managing model lifecycles can be overwhelming. That's where mlop comes in. We've built a platform that not only solves these challenges but transforms them into opportunities for better model development and deployment.

What We Offer

Comprehensive Experiment Tracking

• Track every aspect of your ML experiments with granular detail
• Compare model versions and hyperparameters with ease
• Maintain a complete history of your model development journey
• Automatic logging of metrics, parameters, and artifacts, parameters, gradients, etc

Advanced Visualization

• Real-time monitoring of training progress
• Interactive dashboards for model performance analysis
• Custom visualization tools for deep learning metrics for niche use cases
• Intuitive comparison views for multiple experiments

Our Competitive Edge

What truly sets mlop apart from other platforms:

1. Actionable Insights: We're not just a platform for logging metrics. We actually give you actionable insights on how to improve your model. An example case is we can tell you when there is exploding gradients in your model and give you suggestions on how to fix it.

2. Alerting: We give you alerts when your model training is not performing well, so you can take action immediately and prevent wasting any hours of GPU time == big cost savings.

3. Performance: Our platform is built for speed, handling massive datasets and complex models without breaking a sweat.

Getting Started

The best way to understand mlop is to try it yourself. We offer:

• A free tier for individual developers and small teams
• Comprehensive documentation and tutorials
• Dedicated support for anyone (yes us founders will help you out with any issues)

Ready to transform your ML workflow? Try our introductory notebook or sign up for an account to get started today!

See our quickstart guide here to get started, we look forward to seeing you on the platform!