Explorium offers a first-of-its-kind end-to-end automated external data platform for advanced analytics and machine learning. Our unique all-in-one platform automatically connects and matches internal enterprise data with thousands of relevant external data sets to accelerate your ML investment ROI and helps solve complex problems. We empower data scientists and business leaders to fuel decision-making with the right data. Check out the platform yourself at: www.explorium.ai/free-trial Learn more about Explorium
Compare TensorFlow и Torch
Take a look at comparison of based on the customers reviews. The rating is calculated in real time from reviews of customers.
Starting price | from 1 usd. | from 1 usd. |
Who this service is for |
An open-source platform that allows developers, businesses and researchers to build and deploy machine learning algorithms. |
Scientific computing framework that provides deep machine learning algorithms and uses Lua-based scripting language. |
Rating | ||
Machine Learning software features |
Deep Learning
ML Algorithm Library
Model Training
Statistical Modeling
|
Deep Learning
ML Algorithm Library
Model Training
Statistical Modeling
|
Data Mining software features |
Predictive Modeling
|
Predictive Modeling
|
IoT software features |
Visualization
|
Visualization
|
Interface screenshot | ||
Desktop & Mobile Platforms |
Cloud-hosted / box software |
|
Support | Working hours, Online | Working hours, Online |
Training |
Documentation
Webinars
Personal
Online
|
Documentation
Webinars
Personal
Online
|
Reviews |
Relatively Straightforward Deep Learning Framework Benefits: The 2.0 version is easy to set up and there are a lot of APIs that are integrated for using various programming languages to do the same thing. I ... Read more The 2.0 version is easy to set up and there are a lot of APIs that are integrated for using various programming languages to do the same thing. I personally have been using python with this application and have had very little problems getting going. There are a lot of tutorials on getting started, some good data available for free to assist with the learning process. Everything can be run locally which makes it easy to expand on-site. Cloud options are also affordable. Drawbacks: The learning curve is a bit steep. This isn't specifically an issue because of TensorFlow itself, the idea of neural networks are not simple. Ten... Read more Summary: Human pattern recognization, image recognization. Habits and trends. Review of Google Cloud ML Engine Benefits: The feature of the Google Cloud ML Engine that I most like is the machine learning features that have been provided by this platform. The ML featur... Read more The feature of the Google Cloud ML Engine that I most like is the machine learning features that have been provided by this platform. The ML features of this engine provide SOTA results in every task in machine learning and artificial intelligence. The ML features are very handy and easy to use and integrate in other applications as well. I would recommend everyone to use Google Cloud ML Engine for developing AI systems. Drawbacks: The pricing, when exceeded the free tier of Google Cloud ML platform, is high. The pricing is high compared to other services like Azure Cloud ML p... Read more Summary: My overall experience with Google Cloud ML platform was very good. I used it's machine learning services to integrate those in my web applications. TensorFlow: The Root of all ML Benefits: TensorFlow is a very powerful framework, and with the new version and the Keras interface, it is 10 times much easier to use, for simple usage. Ear... Read more TensorFlow is a very powerful framework, and with the new version and the Keras interface, it is 10 times much easier to use, for simple usage. Earlier it used to require a deeper level of understanding to use the library, but now it is very fluid, simple, and at the same time effective. Drawbacks: Even though the Keras interface offers a simple way to work with TensorFlow, it is sometimes not possible or convenient to use Keras. Hence, one mu... Read more Summary: TensorFlow is one of the most powerful frameworks made for machine learning and analysis. It's so powerful that almost all of the other machine lea... Read more |
A wonderful machine learning library Benefits: Note that the Lua version is unmaintained - only the Python and R libraries still receive maintenance. That said, Torch is a wonderful library for ... Read more Note that the Lua version is unmaintained - only the Python and R libraries still receive maintenance. That said, Torch is a wonderful library for using tensors and other objects in machine learning. Very convenient tools and functions for implementing algorithms and whatnot. Drawbacks: As said, the Lua version is unmaintained. The R version also is missing many features from PyTorch. The Python version, however, is top of the line. Summary: My favorite deeplearning framework Benefits: Since the introduction of pytorch framework, i have been using it more extensively compared to other frameworks like tensorflow and the rest. Pytor... Read more Since the introduction of pytorch framework, i have been using it more extensively compared to other frameworks like tensorflow and the rest. Pytorch has one of the most beautifully designed documentation page , it aslo comes with lots of pretrained convolutional neural networks architectures (CNN) which i use extensively. Drawbacks: supports only nividia GPU for faster computations as cuda only supports nividia. Summary: Used this framework for machine learning applications mostly image classifications Another good free alternative for deep learning Benefits: It incorporates most of the state-of-the-art research and papers algorithms for deep learning. The new PyTorch solves the main issue of this softwa... Read more It incorporates most of the state-of-the-art research and papers algorithms for deep learning. The new PyTorch solves the main issue of this software (it uses Python instead of LUA) Drawbacks: The main cons is having to program in LUA. Nowadays, Matlab and Python are the main programming languages. Having to program in LUA makes it hard t... Read more Summary: Best software for browsing and downloading youtube videos Benefits: Torch is very helpful, I use torch when downloading videos from Youtube.It the best alternative to chrome for browsing. The software is user fri... Read more Torch is very helpful, I use torch when downloading videos from Youtube.It the best alternative to chrome for browsing. The software is user friendly.Privacy settings are awesome and they are fine organized to give a full secured browsing. Drawbacks: when Updating, it consumes queit mobile data. Sometimes the browsing speed gets slow when using with VPN. Summary: It is good and fast web browser which can easily be use by any person.Downloading and Uploading are better with Torch.it is amazing using Torch ... Read more |
Alternative software
rating
3.9 (
25 reviews
)
On-premise and cloud-based solution that helps build, train and deploy machine learning tools, facilitate team collaboration & more. Learn more about Azure Machine Learning
Machine learning tool that enables data mining through free online courses and big data processing. Learn more about Weka
rating
4.9 (
10 reviews
)
B2Metric is an AI-based predictive analytics solution that enables the management of customer journey analytics, risk assessment, and price optimization process within the B2Metric ML Studio platform solution. B2Metric reduces the complexities of predictive analytics projects for each size of companies. Becoming a data-driven company is such an easy task for your marketing and data teams. B2Metric AutoML solution set up an ML pipeline for the usage of marketing teams, data scientists. Learn more about B2Metric
rating
4 (
1 reviews
)
Machine learning lets users select or customize deep learning or big data processing stacks. Learn more about AISE Stacks
The Valohai platform is designed to make machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in new data, train a model, and deploy to production automatically. Everything trained on Valohai is automatically stored and versioned, so every model is always reproducible, and work is never lost. The platform is technology agnostic and ready for any cloud or on-premise setup. Learn more about Valohai
Machine learning solution that helps businesses monitor and track performances of analytical models to ensure governance Platform for MLops and Data-piplines. Serverless Kubeflow Pipelines. Learn more about AI Studio
The process involves analyzing existing processes and data, plus specialized knowledge input from experts, and paired with software-based machine learning. HALerium provides statistically sound forecasts and recommends actions based on the analysis. The entire analysis process is transparent when presented. Learn more about HALerium
A library of Nathan commands that can embed machine learning capabilities to mobile devices as well as virtual and hardware appliances. Learn more about NathanCORE
End to end tool for machine learning engineers without writing any code. Import, prepare, analyze, visualize and share Learn more about ScoopML
A Machine and Deep Learner must have Library
Benefits:
This Library is very flexible for doing Matrices and Tensor So building very deep high level but quick and scalable ready to use neural networks is... Read more
This Library is very flexible for doing Matrices and Tensor So building very deep high level but quick and scalable ready to use neural networks is at your finger tips. The added other Anaconda Library and Keras compatibility
Drawbacks:
Depreciation of the code is frustrating. To use one form just to throw a Error message.
Summary: