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craft ai

craft ai Alternatives & Competitors

Top Alternatives to craft ai

  • scikit-learn
  • Eggplant
  • machine-learning in Python
  • Personalizer
  • Google Cloud TPU

Top 20 Alternatives & Competitors to craft ai

    #1
    #1
  1. scikit-learn

    (50)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.

    Categories in common with craft ai:
  2. 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.

    Categories in common with craft ai:

    IS
    Scikit learn is a great library which all the required modules required for machine learning .It also helps the developer for creating machine on AI and also helps us to train the software. Scikit...Read more
    #2
    #2
  3. Eggplant

    (39)4.0 out of 5

    At Eggplant we help businesses to test, monitor and analyze their end-to-end customer experience and continuously improve their business outcomes. We provide business with award winning software and are leaders in the Gartner Magic Quadrant and Forrester Wave.

    Categories in common with craft ai:
  4. At Eggplant we help businesses to test, monitor and analyze their end-to-end customer experience and continuously improve their business outcomes. We provide business with award winning software and are leaders in the Gartner Magic Quadrant and Forrester Wave.

    Categories in common with craft ai:

    IC
    OCR, connection with device, AI and performance insights i like the most.
    18%   of software applications aren't well liked by teams using them.
    Find out how your team feels about your stack with G2 Pulse Surveys.
    Learn More
    #3
    #3
  5. machine-learning in Python

    (23)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.

    Categories in common with craft ai:
  6. 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.

    Categories in common with craft ai:

    manisha s.
    MS
    Python is easy to use machine learning programming language which have extensive libraries and packages .Its packages provide efficient visualization to understand .Also nowadays used for cyber...Read more
    #4
    #4
  7. Personalizer

    (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.

    Categories in common with craft ai:
  8. 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.

    Categories in common with craft ai:

    GC
    The API was actually easy to use. Easy documentation provided us with quite a bit of flexibility as to what we needed to use it for.
    #5
    #5
  9. 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

    Categories in common with craft ai:
  10. Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud

    Categories in common with craft ai:

    Isabelle F.
    IF
    I love the fact that we were able to build a state-of-the-art AI service, geared towards network security thanks to the optimal running of the cutting edge machine learning models. The power of...Read more
    #6
    #6
  11. Torch

    (14)4.4 out of 5

    Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.

    Categories in common with craft ai:
  12. Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.

    Categories in common with craft ai:

    Athulya G.
    AG
    Torch helping to perform your deep learning modeling effectively and efficiently
    #7
    #7
  13. MLlib

    (14)4.1 out of 5

    MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.

    Categories in common with craft ai:
  14. MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc.

    Categories in common with craft ai:

    UF
    The scalability power of the framework which handles large data efficiently and performs machine learning algorithms at faster rate.
    #8
    #8
  15. 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.

    Categories in common with craft ai:
  16. Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.

    Categories in common with craft ai:

    GC
    I appreciate the ease of use and the quality of Amazon Personalize. The product allowed me to receive accurate data on product and create a quality environment for buyers to find products and...Read more
    #9
    #9
  17. Amazon Forecast

    (13)3.8 out of 5

    Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

    Categories in common with craft ai:
  18. Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

    Categories in common with craft ai:

    Stephanie B.
    SB
    I enjoy the financial planning, resource planning and product demand planning. You can secure your business data and reduce forecasting time from months to hours.When the business purchased the...Read more
    #10
    #10
  19. python-recsys

    (13)4.5 out of 5

    python-recsys is a python library for implementing a recommender system.

    Categories in common with craft ai:
  20. python-recsys is a python library for implementing a recommender system.

    Categories in common with craft ai:

    GT
    If you are comfortable with Python, using this for recommendation engines will be easy. Accommodates a variety of algorithm types including classification recommendations, popularity based and...Read more
    #11
    #11
  21. XGBoost

    (12)4.4 out of 5

    XGBoost is an optimized distributed gradient boosting library that is efficient, flexible and portable, it implements machine learning algorithms under the Gradient Boosting framework and provides a parallel tree boosting(also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.

    Categories in common with craft ai:
  22. XGBoost is an optimized distributed gradient boosting library that is efficient, flexible and portable, it implements machine learning algorithms under the Gradient Boosting framework and provides a parallel tree boosting(also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.

    Categories in common with craft ai:

    GB
    The boost is your program makes a better stronger built it makes it easier to build it makes your computer access and easy to use and build your program
    #12
    #12
  23. Microsoft Machine Learning Server

    (12)3.9 out of 5

    Microsoft Machine Learning Server is your flexible enterprise platform for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business with full support for Python and R. Machine Learning Server meets the needs of all constituents of the process – from data engineers and data scientists to line-of-business programmers and IT professionals. It offers a choice of languages and features algorithmic innovation that brings the best of open-source and proprietary worlds together

    Categories in common with craft ai:
  24. Microsoft Machine Learning Server is your flexible enterprise platform for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business with full support for Python and R. Machine Learning Server meets the needs of all constituents of the process – from data engineers and data scientists to line-of-business programmers and IT professionals. It offers a choice of languages and features algorithmic innovation that brings the best of open-source and proprietary worlds together

    Categories in common with craft ai:

    GM
    Extremely easy to leverage AI technologies without extensive coding experience.
    #13
    #13
  25. Weka

    (12)4.5 out of 5

    Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and well-suited for developing new machine learning schemes.

    Categories in common with craft ai:
  26. Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and well-suited for developing new machine learning schemes.

    Categories in common with craft ai:

    GH
    No code required and everything can be done through a UI
    #14
    #14
  27. Mahout

    (11)4.3 out of 5

    Apache Mahout is a software that build an environment for quickly creating scalable performant machine learning applications, it provides three major features: A simple and extensible programming environment and framework for building scalable algorithms, A wide variety of premade algorithms for Scala + Apache Spark, H2O, Apache Flink and Samsara, a vector math experimentation environment with R-like syntax which works at scale

    Categories in common with craft ai:
  28. Apache Mahout is a software that build an environment for quickly creating scalable performant machine learning applications, it provides three major features: A simple and extensible programming environment and framework for building scalable algorithms, A wide variety of premade algorithms for Scala + Apache Spark, H2O, Apache Flink and Samsara, a vector math experimentation environment with R-like syntax which works at scale

    Categories in common with craft ai:

    GA
    1.Access to extensible programming framework. 2.Build scalable algorithms. 3.Provide fault tolerance in case of failure
    #15
    #15
  29. GoLearn

    (11)4.1 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.

    Categories in common with craft ai:
  30. 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.

    Categories in common with craft ai:

    GF
    It is user friendly and very interactive and can be able make notes with the flow.
    #16
    #16
  31. Crab

    (10)4.6 out of 5

    Crab as known as scikits.recommender is a Python framework for building recommender engines that integrate with the world of scientific Python packages (numpy, scipy, matplotlib), provide a rich set of components from which user can construct a customized recommender system from a set of algorithms and be usable in various contexts: ** science and engineering ** .

    Categories in common with craft ai:
  32. Crab as known as scikits.recommender is a Python framework for building recommender engines that integrate with the world of scientific Python packages (numpy, scipy, matplotlib), provide a rich set of components from which user can construct a customized recommender system from a set of algorithms and be usable in various contexts: ** science and engineering ** .

    Categories in common with craft ai:

    PT
    - Crab is a open source which means it's freely available and anyone can raise a issue and request a feature or may implement it himself. This is one thing that captivates me towards it. - Also as...Read more
    #17
    #17
  33. Patern Recognition and Machine Learning Toolbox

    (10)4.0 out of 5

    Pattern Recognition and Machine Learning is a Matlab implementation of the algorithms.

    Categories in common with craft ai:
  34. Pattern Recognition and Machine Learning is a Matlab implementation of the algorithms.

    Categories in common with craft ai:

    GR
    Helpful for research. Reduces a lot of code needed for implementation.
    #18
    #18
  35. Xilinx Machine Learning

    (8)4.3 out of 5

    The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.

    Categories in common with craft ai:
  36. The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.

    Categories in common with craft ai:

    GE
    I like the fact that Xilinx has included a lot of deep learning model attributes including object detection and segmentation.
    #19
    #19
  37. Annoy

    (7)3.3 out of 5

    Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point and it creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.

    Categories in common with craft ai:
  38. Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point and it creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data.

    Categories in common with craft ai:

    AP
    I like that Annoy is an open source python library. It cost us nothing to import and use in the codebase.
    #20
    #20
  39. Beeze

    (6)4.3 out of 5

    Breeze is a numerical processing library for Scala.

    Categories in common with craft ai:
  40. Breeze is a numerical processing library for Scala.

    Categories in common with craft ai:

    GE
    Easy to use, very user friendly. There are also guides in the form of tutorials which might not be necessary as you can figure out things very easily . The volunteer Management Software is very...Read more