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Top 10 Deep Java Library (DJL) Alternatives & Competitors

(1)4.5 out of 5

Deep Java Library (DJL) is not the only option for Artificial Neural Network Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to Deep Java Library (DJL) include ease of use and reliability. The best overall Deep Java Library (DJL) alternative is Keras. Other similar apps like Deep Java Library (DJL) are H2O, NVIDIA Deep Learning GPU Training System (DIGITS), Google Cloud Deep Learning Containers, and AIToolbox. Deep Java Library (DJL) alternatives can be found in Artificial Neural Network Software but may also be in Machine Learning Software or Data Science and Machine Learning Platforms.

Best Paid & Free Alternatives to Deep Java Library (DJL)

Keras
H2O
NVIDIA Deep Learning GPU Training System (DIGITS)
Google Cloud Deep Learning Containers
AIToolbox
Microsoft Cognitive Toolkit (Formerly CNTK)
PyTorch
TFLearn

Top 10 Alternatives to Deep Java Library (DJL) Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Deep Java Library (DJL) stacks up to the competition, check reviews from current & previous users in industries like Consulting, and find the best product for your business.

Keras

By Keras

(64)4.6 out of 5

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

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all Keras reviews

H2O

By H2O.ai

(24)4.5 out of 5

H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes.

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all H2O reviews

NVIDIA Deep Learning GPU Training System (DIGITS)

By NVIDIA

(23)4.5 out of 5

NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all NVIDIA Deep Learning GPU Training System (DIGITS) reviews

Google Cloud Deep Learning Containers

By Google

(23)4.5 out of 5

Preconfigured and optimized containers for deep learning environments.

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all Google Cloud Deep Learning Containers reviews

AIToolbox

By AIToolbox

(22)4.5 out of 5

AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic Regression

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all AIToolbox reviews

Microsoft Cognitive Toolkit (Formerly CNTK)

By Microsoft

(22)4.2 out of 5

Microsoft Cognitive Toolkit is an open-source, commercial-grade toolkit that empowers user to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms already use.

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all Microsoft Cognitive Toolkit (Formerly CNTK) reviews

PyTorch

By Jetware

(21)4.6 out of 5

Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all PyTorch reviews

TFLearn

By TFLearn

(20)4.0 out of 5

TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.

Categories in common with Deep Java Library (DJL):

Artificial Neural Network

See all TFLearn reviews

Neuton AutoML

By Bell Integrator

(17)4.5 out of 5

Neuton, an AutoML platform, allows experienced users and those without any experience in Machine Learning to build compact AI models with just a few clicks and without any coding. Neuton is based on a proprietary neural network framework invented and patented by our team of scientists that is far more effective than any other framework, non-neural algorithm on the market. Its resulting models are self-growing, much more compact, fast and require fewer training samples in comparison to those of other solutions.

Categories in common with Deep Java Library (DJL):