TFlearn Alternatives & Competitors

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

The World's AI.

Key Clarifai features:

API Artificial Intelligence Workflow Management Workflow Automation

freemium

OpenAI-compatible API gateway for GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more. One key, one endpoint, one bill. Pay per token, no lock-in.

Key Thalam features:

OpenAI-Compatible Endpoint One Key for Many Models Text, Image and Video in One API Per-Key Spend Caps

Try for free freemium

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

Machine Learning.

Key Microsoft Cognitive Toolkit (Formerly CNTK) features:

Efficiency Scalability Flexibility Seamless Integration

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

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

Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.

Key Swift Brain features:

Ease of Use Integration with Swift Lightweight Open Source

MLKit is a simple machine learning framework written in Swift.

Key MLKit features:

Feature-Rich Ease of Integration Regular Updates Open-Source

Open Source

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

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

Open Source

Artificial intelligence and machine learning library written in Swift.

Key Swift AI features:

Native Swift Integration Open Source Performance Optimizations Community Support

Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

Key Deeplearning4j features:

Java Integration Scalability Commercial Support Compatibility with Hardware

BrainCore is a simple but fast neural network framework written in Swift.

Open Source