Machine learning topic

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

List Machine learning repositories

techniques

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Techniques for deep learning with satellite & aerial imagery

DeepSpeed

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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

aghasher

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:anchor: An implementation of Anchor Graph Hashing (Liu et al. 2011) in Python.

k-means-quantization-js

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Apply color quantization to images using k-means clustering.

pyfms

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A Theano-based Python implementation of Factorization Machines (Rendle 2010).

machine-learning-with-ruby

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Curated list: Resources for machine learning in Ruby

nlp-with-ruby

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Curated List: Practical Natural Language Processing done in Ruby

awesome-tensorflow-js

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Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js

docker-packing-box

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Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection