AIToolbox Alternatives & Competitors

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

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

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Key ASocks features:

HTTP Socks5 ASN targeting Pay as you go

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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

Open Source

The World's AI.

Key Clarifai features:

API Artificial Intelligence Workflow Management Workflow Automation

freemium

Machine Learning.

Key Microsoft Cognitive Toolkit (Formerly CNTK) features:

Efficiency Scalability Flexibility Seamless Integration

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

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

WEKA is a set of powerful data mining tools that run on Java.

Key WEKA features:

User-Friendly Interface Wide Range of Algorithms Open Source Extensive Documentation

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Key Pandas features:

Data Wrangling Flexible Data Structures Integration with Other Libraries Performance with Data Size

Open Source

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Key machine-learning in Python features:

Ease of Use Rich Ecosystem Community Support Integration Capabilities

NumPy is the fundamental package for scientific computing with Python.

Key NumPy features:

Performance Versatility Ease of Use Community Support

Open Source

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

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Key Dataiku features:

User-Friendly Interface Collaborative Environment End-to-End Workflow Integrations and Extensibility