This product hasn't been reviewed yet! Be the first to share your experience.
Leave a Review
Apache SINGA Reviews (0)
G2 reviews are authentic and verified.
Here's how.
We strive to keep our reviews authentic.
G2 reviews are an important part of the buying process, and we understand the value they provide to both our customers and buyers. To ensure the value is retained, it's important to make certain that reviews are authentic and trustworthy, which is why G2 requires verified methods to write a review and validates the reviewer's identity before approving. G2 validates the reviewers identity with our moderation process that prevents inauthentic reviews, and we strive to collect reviews in a responsible and ethical manner.
There are not enough reviews of Apache SINGA for G2 to provide buying insight. Below are some alternatives with more reviews:
1
Keras
4.6
(64)
Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
2
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.
3
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.
4
PyTorch
4.5
(22)
Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms
5
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.
6
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
7
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.
8
Google Cloud Deep Learning Containers
4.5
(20)
Preconfigured and optimized containers for deep learning environments.
9
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.
10
Neuton AutoML
4.5
(17)
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.
Pricing
Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.
Categories on G2
Explore More
Recommendations for CDP apps for SaaS businesses
Which application monitoring software is top-rated by tech startups
What tool provides AI-driven insights for app retention?
