A curated list of awesome Machine Learning frameworks, libraries and software.
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A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by
If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated if:
For a list of free machine learning books available for download, go here.
For a list of professional machine learning events, go here.
For a list of (mostly) free machine learning courses available online, go here.
For a list of blogs and newsletters on data science and machine learning, go here.
For a list of free-to-attend meetups and local events, go here.
runtime written in pure C (99) with zero dependancies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices.
which provides a set of NLP-friendly data structures and a number of NLP-related utilities that support writing NLP applications, running experiments, etc,
a library for feature extraction from illinois-core-utilities data structures and many other packages.
](https://metacpan.org/search?size=20&q=AI)namespace. For instance, you can find Naïve Bayes.