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Machine Learning Library Open Source

Many real-world datasets can be naturally represented as graphs with nodes representing entities and links representing. We build open source tools to discover and share open data from any domain easily draw them into your favourite machine learning environments quickly build models alongside and together with thousands of other data scientists analyse your results against the state.


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Awesome Datascience 15826 An awesome Data Science repository to learn and apply for real world problems.

Machine learning library open source. EvalML is an open-source AutoML library written in python that automates a large part of the machine learning process and we can easily evaluate which machine learning pipeline works better for the given set of data. Browse The Most Popular 34 Machine Learning Library Open Source Projects. It can automatically perform feature selection model building hyper-parameter tuning cross-validation.

TensorFlow is an open-source end-to-end platform for Machine Learning and Deep Learning. Top Open Source Deep Learning Libraries 1 TensorFlow. It is incredibly popular for its ease of use simplicity and ability to build and deploy end-to-end ML prototypes quickly and efficiently.

Learn how their method generates multiple diverse counterfactuals at once gives insight into ML algorithm decision making. Many of their open-source libraries are now gaining popularity on GitHub which is helping budding AI developers across the world build flexible and scalable machine learning models. Essentially they are interfaces libraries or tools helping developers to easily and quickly build machine learning models going past the specific basic details of the underlying algorithms.

An open source framework that provides a simple universal API for building distributed applications. It builds and optimizes ML pipelines using specific objective functions. A scalable C machine learning library RR.

PyCaret is an open-source low-code machine learning library and end-to-end model management tool built-in Python for automating machine learning workflows. Mlpack is open source software licensed under the permissive 3-clause BSD license. PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only.

StellarGraph is a commercial grade open source graph machine learning library written in Python for data scientists analysts and data engineers. The Open Machine Learning project is an inclusive movement to build an open organized online ecosystem for machine learning. TensorFlow is an end-to-end open source platform for machine learning.

NIPS 2011 Workshop on Big Learning Granada Spain 2011. Microsoft researchers collaborators created an open-source library to explore what-if scenarios for machine learning models. An open source platform for the machine learning lifecycle Works with any ML library language existing code Runs the same way in any cloud Designed to scale from 1 user to large orgs.

Solution to common ML problems. A Machine Learning library or a Machine Learning framework is a set of routines and functions that are written in a given programming language. Keras is an open-source neural network library that can run on top.

It has a comprehensive flexible ecosystem of tools libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Read our latest stories Short hands-on and tutorial style stories. PyCaret is an open source low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes in your choice of notebook environment.

Today corporations like Google Facebook and Microsoft have been dominating tools and deep learning frameworks that AI researchers use globally. Ray is packaged with RLlib a scalable reinforcement learning library and Tune a scalable hyperparameter tuning library.


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