Top Rated Open Neural Network Exchange (ONNX) Alternatives
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There are not enough reviews of Open Neural Network Exchange (ONNX) for G2 to provide buying insight. Below are some alternatives with more reviews:
1
Tune AI
4.4
(152)
Tune AI is an enterprise chat application which runs on your cloud or on-prem as a managed service, harnessing the power of generative AI models without your data ever leaving your environment.
2
Keras
4.6
(64)
Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
3
H2O
4.5
(24)
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.
4
NVIDIA Deep Learning GPU Training System (DIGITS)
4.5
(23)
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.
5
AIToolbox
4.5
(22)
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
6
Microsoft Cognitive Toolkit (Formerly CNTK)
4.2
(22)
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.
7
PyTorch
4.6
(21)
Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms
8
TFLearn
4.0
(20)
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.
9
Google Cloud Deep Learning Containers
4.5
(20)
Preconfigured and optimized containers for deep learning environments.
10
AWS Deep Learning AMIs
4.3
(19)
The AWS Deep Learning AMIs is designed to equip data scientists, machine learning practitioners, and research scientists with the infrastructure and tools to accelerate work in deep learning, in the cloud, at any scale.
Open Neural Network Exchange (ONNX) Categories on G2
