Swift Brain
Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.
Some of the top features or benefits of Swift Brain are: Ease of Use, Integration with Swift, Lightweight, and Open Source. You can visit the info page to learn more.
Best Swift Brain Alternatives & Competitors in 2025
The best Swift Brain alternatives based on verified products, community votes, reviews and other factors.
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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
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Machine Learning
Key Microsoft Cognitive Toolkit (Formerly CNTK) features:
Efficiency Scalability Flexibility Seamless Integration
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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
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The World's AI
Key Clarifai features:
API Artificial Intelligence Workflow Management Workflow Automation
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TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Key TFlearn features:
User-Friendly Interface Modular Design Integration with TensorFlow Pre-built Models
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Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
Key Knet features:
Efficiency Flexibility Julia Integration Community and Support
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Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
Key Merlin features:
Julia Language Integration Composable Machine Learning Models Interoperability Community Support
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Artificial intelligence and machine learning library written in Swift.
Key Swift AI features:
Native Swift Integration Open Source Performance Optimizations Community Support
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See sharks everywhere with this AR app 🦈
Key SHARK features:
Versatility Modular Design Performance Open Source
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BrainCore is a simple but fast neural network framework written in Swift.
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Darknet is an open source neural network framework written in C and CUDA.
Key Darknet features:
Open Source Ease of Use Good Performance YOLO Integration
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Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.
Key Neurolab features:
Modular Design Ease of Use Comprehensive Documentation Lightweight
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MLKit is a simple machine learning framework written in Swift.
Key MLKit features:
Feature-Rich Ease of Integration Regular Updates Open-Source