10 Selection Python Machine Learning Library

October 3, 2018

pythonmachinelearninglibrary

Basic tasks in Machine learning are:

  • concept learning
  • function learning
  • predictive modeling
  • clustering
  • finding predictive patterns

Python Machine Learning

Neural networks and machine learning has been one of the hottest tech topics in tech in the past few years or so. Voice recognition, image recognition, music composition and a lot more make machine learning a fascinating subject. Here is a list of some of the best Python machine learning libraries.

1. TensorFlow

89488fc4e111b3b6e886fa196b7cc76e.png TensorFlow is a high-level neural network library.
It helps you to program your network architectures while avoiding the low-level details. It allows you to express your computation as a data flow graph. It is written in C++. It includes Python bindings.
It has a flexible architecture.

2. Scikit-learn

f851ed71d4258ed18a4069bbeee0c8c9.png Scikit-learn library is one of the popular ML libraries out there.
It has several features for data mining and data analysis.
This makes it an excellent choice for researchers and developers.

3. Theano

6a67ad025a1a88677179bbf3cf2fcdda.png Theano is a machine learning library. Theano gives you the ability to define, then further optimize, and evaluate mathematical expressions that involve multi-dimensional arrays. This can be a point of frustration for some developers who use other libraries.

4. Pylearn2

94cc34a1e372df081d4132da619bd03f.png Pylearn2 has a pretty solid base.
Pylearn2 provides great flexibility.
It makes it possible for a researcher to do anything.

5. Pyevolve

32a8156bbad0a95385a1da971760f83d.png Pyevolveis a machine learning library that provides the developer with an amazing framework for building and executing genetic algorithm.

6. NuPIC

17ab8650a481b0b4c3778eb0cbbd61e8.png NuPIC provides quite a different functionality than the normal and standard ML algorithms.
It is based on a theory of the neocortex which is called the Hierarchical Temporal Memory.

7. Pattern

4c703a44af85ac275cb37aac7532033e.gif The pattern provides not only some ML algorithms, but it also provides you with tools to help you collect and analyze data.

8. Caffe

03839703fc32217f0467a8d7c5d63977.png Caffe is a library for machine learning in vision applications.
It is used to create deep neural networks that recognize a visual style.

9. Pandas

5705e14016286da6d227a3404a22e125.png Pandas is perfect for data wrangling.
Panda is designed for data manipulation and visualization.

10. Matplotlib

logo2.png Matplotlib is a python library that is used for powerful visualizations.


This post is curated by IssueHunt that an issue based bounty for open-source projects.

https://issuehunt.io/

issuehunt-image