Monitor ML Alternatives & Competitors

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Key TensorFlow features:

Comprehensive Ecosystem Community and Support Flexibility Integrations

Open Source

Low-latency inference of on-device ML models.

Key TensorFlow Lite features:

Efficient Model Execution Cross-Platform Support Pre-trained Models Quantization

Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.

Key ASocks features:

HTTP Socks5 ASN targeting Pay as you go

Try for free paid Free Trial $3.0 (3$ per 1 Gb)

A no-code Machine Learning solution. Made by teenagers.

Key mlblocks features:

Modularity Ease of Use Extensibility Integration

Deep Learning and AI accessible to everyone.

Key Spell features:

Ease of Use Scalability Collaboration Experiment Tracking

Monitor mission-critical data quality & ML issues and drifts.

Key Qualdo™ features:

Comprehensive Monitoring User-Friendly Interface Real-Time Alerts Customizable Dashboards

You no longer need to collect and label images or train a ML model to add computer vision to your project.

Key Roboflow Universe features:

Wide Range of Datasets Community Contribution Easy Integration Comprehensive Metadata

Open Source

Machine Learning API as a Service platform.

Key DeepLobe features:

Advanced AI Algorithms User-Friendly Interface Scalability Integration Capabilities

Visual tool for building custom deep learning models.

Key Lobe features:

User-Friendly Interface No Coding Required Integration with Popular Tools Fast Prototyping

Open Source

Integrate a broad variety of ML model types into your app.

Key Apple Core ML features:

Integration with Apple Ecosystem Performance Optimization Privacy Ease of Use

With this beginner-friendly CLI tool, you can create containerized machine learning models from your labeled texts in minutes.

Breathtaking visuals for learning ML techniques.

Key Machine Learning Playground features:

User-Friendly Interface Interactive Learning No Installation Required Pre-configured Environments

NannyML estimates real-world model performance (without access to targets) and alerts you when and why it changed.

Key NannyML features:

Automatic Drift Detection Open Source Ease of Use Model-Agnostic

Easy to use and fairly priced GPUs for Machine Learning.

Key Clever Grid features:

Energy Cost Savings Sustainability Real-Time Monitoring Scalability