PyTorch Lightning Alternatives & Competitors

Everything you need to take AI from research to production.

Key Facebook.ai features:

Research and Development Open Source Contributions Diverse Applications Strong Academic Partnerships

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

Connect to 200+ Wearables & Health Data Sources with One API.

Key Sahha features:

Health & Wearable Integrations Health Scores Archetypes Insights

Try for free paid Free Trial $199.0 / Monthly (Full access)

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Key Keras features:

User-Friendly Modularity Pre-trained Models Integration with TensorFlow

Open Source

Open source deep learning platform that provides a seamless path from research prototyping to...

Key PyTorch features:

Dynamic Computation Graph Pythonic Nature Strong Community Support Flexibility and Control

Open Source

Artificial intelligence and machine learning library written in Swift.

Key Swift AI features:

Native Swift Integration Open Source Performance Optimizations Community Support

Towardsdatascience is one of the fastest-growing web-based platforms that allow you to exchange ideas, concepts, and codes to understand data science.

Key Towardsdatascience features:

Wide Range of Topics Community-Driven Content Up-to-Date Information Educational Opportunities

Art filters using artificial intelligence to transform your photos into classic artwork.

Key Prisma features:

High-Quality Filters User-Friendly Interface Regular Updates Cross-Platform

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

Machine Learning.

Key Microsoft Cognitive Toolkit (Formerly CNTK) features:

Efficiency Scalability Flexibility Seamless Integration

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Key Scikit-learn features:

Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

Open Source

DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Key DeepPy features:

Ease of Use Python Integration Lightweight

TensorFlow.js is a library for machine learning in JavaScript.

Key TensorFlow.js features:

Cross-Platform Compatibility Interactive Visualization Real-time Execution No Installation Required

Explore machine learning by playing w/ pics, music, and more.

Key A.I. Experiments by Google features:

Accessibility Innovation Education Community Engagement