Steam

Steam Alternatives & Competitors

(1)3.0 out of 5

Looking for alternatives to Steam? Tons of people want Machine Learning software. What's difficult is finding out whether or not the software you choose is right for you.

Top 20 Alternatives & Competitors to Steam

    #1
    #1
  1. Qubole

    (108)3.9 out of 5
    Optimized for quick response
    Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds
  2. Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds

    Qubole review by Aldo O.
    "Surprisingly easy to use: I especially like how easy it is to trigger commands, not only from the Qubole console but also using the REST API to trigger actions from our custom scripts. Also, being able to switch between technologies such as Hive, Presto and Spark with a simple dropdown is great. Finally, the capability of switching between environments to sandbox changes"
    #2
    #2
  3. IBM Watson Machine Learning

    (51)4.1 out of 5
    Use your own data to create, train, and deploy machine learning and deep learning models. Leverage an automated, collaborative workflow to grow intelligent business applications easily and with more confidence.
  4. Use your own data to create, train, and deploy machine learning and deep learning models. Leverage an automated, collaborative workflow to grow intelligent business applications easily and with more confidence.

    IBM Watson Machine Learning review by frauzelimar p.
    "IBM WATSON, your assistant, organizer and even business advisor: This application is something surprising, practically sutituye a whole sales department, tools to improve the sales process, strategies to improve your products, improve your interactions according to your lines of communication, maintaining the image of your company, you can additional design the processes step by step to have a true interaction with the clients. "
    #3
    #3
  5. Microsoft Knowledge Exploration Service

    (46)4.2 out of 5
    Microsoft Knowledge Exploration Service is a service that offers a fast and effective way to add interactive search and refinement to applications, it allows user to build a compressed index from structured data, author a grammar that interprets natural language queries, and provide interactive query formulation with auto-completion suggestions.
  6. Microsoft Knowledge Exploration Service is a service that offers a fast and effective way to add interactive search and refinement to applications, it allows user to build a compressed index from structured data, author a grammar that interprets natural language queries, and provide interactive query formulation with auto-completion suggestions.

    Microsoft Knowledge Exploration Service review by Chelsea  N.
    "Microsoft Knowledge Exploration Satisfaction : This software gives a fast as well as an effective way to search. By creating an index from your data, it makes it accessible to control. This software understands the language use of the company and implementing it into the system. "
    #4
    #4
  7. scikit-learn

    (39)4.8 out of 5
    Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
  8. Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

    scikit-learn review by Jezz B.
    "Scikit-Learn A mandatory Library for Machine Learning: The best thing about scikit learn is that it makes implementing and using machine learning algorithms a much easy play.I have been using scikit learn since the start of my career and even during my graduate days I used scikit learn.It has been improving since then and also updating the algorithms.Using scikit learn will really pace up your tasks of implementing ML tasks for your service."
    #5
    #5
  9. BigML

    (24)4.7 out of 5
    Enjoy the power of Programmatic Machine Learning
  10. Enjoy the power of Programmatic Machine Learning

    BigML review by Deepak T.
    "On Cloud AI/ML: BigML is a excellent platform which is easy to set up an even more easier to use. They provide a very good dashboard where we can manage all the features provided by BigML. As it is a API for Machine Learning algorithms, they also provide sample datasets so one can directly go hands on or even can play with custom user defined datasets. "
    #6
    #6
  11. Microsoft Recommendations API

    (20)4.2 out of 5
    Recommendations API is a tool that helps customer discover items in users catalog, customer activity in a user's digital store is used to recommend items and to improve conversion in digital store.
  12. Recommendations API is a tool that helps customer discover items in users catalog, customer activity in a user's digital store is used to recommend items and to improve conversion in digital store.

    Microsoft Recommendations API review by Katie R.
    "I have appreciated using API, and am disappointed that it is no longer being produced. : We appreciate that the API tools are easy to use, and the system was organized clearly and distinctly. There were two of us using the system the most, and we both felt very comfortable with it. I liked the use of JSON, which Microsoft used for the data exchange portion of the software. The option used for authentication was API Keys. This was also a good part of the software. "
    #7
    #7
  13. machine-learning in Python

    (20)4.7 out of 5
    machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.
  14. machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.

    machine-learning in Python review by Prabakar S.
    "Machine Learning Era: Packages like Sci-kit learn and Keras are very useful for fast deployment in the production line. Deep Learning in computer vision shows a considerable result. With a huge amount of data, Python Machine Learning frameworks help us to develop faster and reduce our development time. Frameworks like Tensorflow, caffe, pytorch are very effective in deep learning development and deployment."
    #8
    #8
  15. Google Cloud AutoML

    (19)4.1 out of 5
    Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google's state-of-the-art transfer learning, and Neural Architecture Search technology
  16. Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google's state-of-the-art transfer learning, and Neural Architecture Search technology

    Google Cloud AutoML review by Edynn S.
    "Great Training Tool : You can use Google’s human labeling service to have real-life people annotate or clean your labels to make sure your models are being trained on high-quality data. It helps to make sure your data is clean and your organization can run smoother. It has a simple interface. "
    #9
    #9
  17. Google Cloud TPU

    (18)4.4 out of 5
    Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud
  18. Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud

    Google Cloud TPU review by Ongu S.
    "Great futures for Storage and Security: Features having many thing including enough storage,, security for encryption for storage data. accessibility I like the trust this cloud provide by providing the best security solutions"
    #10
    #10
  19. Microsoft Bing Autosuggest API

    (17)4.1 out of 5
    Microsoft Bing Autosuggest API is a tool that help users complete queries faster by adding intelligent type-ahead capabilities to an app or website.
  20. Microsoft Bing Autosuggest API is a tool that help users complete queries faster by adding intelligent type-ahead capabilities to an app or website.

    Microsoft Bing Autosuggest API review by Jennifer Scarlet J.
    "Overall satisfaction with Bing Webmaster Tools: The ability to see the keywords that people use when searching our website is really efficient to know what users think when they enter our website. In addition, the application presents page traffic reports, which help us by indicating which of our sites has had the most performance over time, which appear between the search criteria and their position in the classifications. Finally it has the ability of SEO analysis that serves as a security system to identify pages with improper practices."
    #11
    #11
  21. python-recsys

    (16)4.5 out of 5
    python-recsys is a python library for implementing a recommender system.
  22. python-recsys is a python library for implementing a recommender system.

    python-recsys review by Prabhu D.
    "Recommendation to anything using recsys with python: Recsys is an open-source tool. So that we can contribute something to it. As we can contribute something to it, anyone can and they. So as the time goes it becomes good with content and function for the developers. Its goal is to make life easier for students and for researchers who want to play around with new recommender algorithm ideas. As it is for making life easier its best feature is dataset handling, various ready to use (prediction algorithm), easy to implement (new algorithm idea which can be completely yours)."
    #12
    #12
  23. Figure Eight (previously known as CrowdFlower)

    (16)4.6 out of 5
    People Powered Data Enrichment
  24. People Powered Data Enrichment

    Figure Eight (previously known as CrowdFlower) review by José Luis M.
    "Figure Eihgt has helped me to have better income!: It is a platform that I like a lot because it has given me the opportunity to earn money with it. I use it in my free time, after my main job. They are a series of tasks based on computational intelligence, which really are very simple and I can get a very good pay if I dedicate a good time. It is an extra income and it is very easy to use."
    #13
    #13
  25. AWS SageMaker Ground Truth

    (16)4.1 out of 5
    Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
  26. Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.

    AWS SageMaker Ground Truth review by Nikita G.
    "User Friendly Product: I enjoyed the ease of use of the product. Good amount of options; I like how it supports Docker containers and API management. It is very easy to set up and integrate with other services. Also very nice that it supports multiple frameworks. Probably the best tool on the market right now used for machine learning."
    #14
    #14
  27. Unity Machine Learning

    (15)4.1 out of 5
    The ML-Agents SDK allows researchers and developers to transform games and simulations created using the Unity Editor into environments where intelligent agents can be trained using Deep Reinforcement Learning, Evolutionary Strategies, or other machine learning methods through a simple to use Python API.
  28. The ML-Agents SDK allows researchers and developers to transform games and simulations created using the Unity Editor into environments where intelligent agents can be trained using Deep Reinforcement Learning, Evolutionary Strategies, or other machine learning methods through a simple to use Python API.

    Unity Machine Learning review by Nicholas B.
    "Incorporate Machine Learning into your Workflow with Unity Machine Learning Agents Toolkit: I enjoy the heavy documentation that the Unity Machine Learning Agents Toolkit provides since I had little experience with machine learning prior to using the Unity Machine Learning Agents Toolkit. The GitHub documentation guided me to set up an initial project and train a machine learning agent. After becoming familiar with the library, I was able to incorporate machine learning into my own application using the library successfully."
    #15
    #15
  29. Amazon Forecast

    (15)3.8 out of 5
    Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
  30. Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

    Amazon Forecast review by alan L.
    "what u like: transformdata and then move it to reshift. Looking to to enable with keyword search to make data retrival much easier to use and consume."
    #16
    #16
  31. GoLearn

    (14)4.3 out of 5
    GoLearn is a 'batteries included' machine learning library for Go that implements the scikit-learn interface of Fit/Predict, to easily swap out estimators for trial and error it includes helper functions for data, like cross validation, and train and test splitting.
  32. GoLearn is a 'batteries included' machine learning library for Go that implements the scikit-learn interface of Fit/Predict, to easily swap out estimators for trial and error it includes helper functions for data, like cross validation, and train and test splitting.

    GoLearn review by Victor M.
    "Study and learn from your cell phone with Go Learn: Well I can start by saying that Go Learn is an excellent tool that helps to facilitate the learning of today's students, what I like the most is that its interface is quite nice for end users besides being very intuitive which makes it a application very easy to use, with lear lear you can access online classes, courses or presentations on topics of interest and all this from the comfort of your home, classroom or office through your smart phone or tablet"
    #17
    #17
  33. Microsoft Academic Knowledge API

    (13)4.1 out of 5
    Microsoft Academic Knowledge API is a service that allow user to interpret queries for academic intent and retrieve rich information from the Microsoft Academic Graph (MAG), it is a knowledge base web-scale heterogeneous entity graph comprised of entities that model scholarly activities: field of study, author, institution, paper, venue, and event.
  34. Microsoft Academic Knowledge API is a service that allow user to interpret queries for academic intent and retrieve rich information from the Microsoft Academic Graph (MAG), it is a knowledge base web-scale heterogeneous entity graph comprised of entities that model scholarly activities: field of study, author, institution, paper, venue, and event.

    Microsoft Academic Knowledge API review by Sally T.
    "Very helpful product in many different fields: The best feature about this software is that is it easy to integrate Microsoft Academic Knowledge with other Microsoft programs with no issue. The program works like a big brain and it pulls all of these topics together and makes it easy to pull information together on similar topics. It is a big time saver when it comes to large research projects or a need for a wide variety of research in the same field. "
    #18
    #18
  35. SAS Enterprise Miner

    (13)4.3 out of 5
    SAS Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patterns that matter most.
  36. SAS Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patterns that matter most.

    SAS Enterprise Miner review by Akos K.
    "A Very Sophisticated Tool With Mixed Feelings: It has a clean and a simplified user interface that helps to get use to the product if you used something else before. There are a huge variety of analytical and statistical models, and a lot of miscellaneous other features help the user actually analyse the data instead of interpreting and trying to untangle the information"
    #19
    #19
  37. Amazon Personalize

    (13)4.3 out of 5
    Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
  38. Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.

    Amazon Personalize review by VICTOR N.
    "An easy and user friendly app to use: It is very easy to make conversions when using Amazon personalize. Whether you are there to sign up for a webinar or to download an ebook the actions are very fast and easy. Amazon personalize is very welcoming to newbies. It is very easy to attract newcomers into your website using this software."
    #20
    #20
  39. Microsoft Cognitive Toolkit (Formerly CNTK)

    (12)4.5 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.
  40. 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.

    Microsoft Cognitive Toolkit (Formerly CNTK) review by Kush G.
    "Great Cognitve toolkit For Image Recognition: Microsoft Cognitive Toolkit or CNTK is the best toolkit available for python for image recognition.Also it can be used with many other languages that you use.It gives you power to use the intelligence of very large datasets which helps you get the variety of data.Also it give you commercial-grade quality and support as stated on its website.You can get very good accuracy and that also with less time while training on its gpu which reduces your cpu usage.It also has many other features which you can check it out on the CNTK website.Support document is also good.It has everything stated which can be understood very easily right from installation to creating your own classifier and everything in between.It is a good API and must try once."