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

Emotion-Detection-ML-Example

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๐Ÿค“ Simple Emotion Detection Neural Network made with brain.js for an article on Hackdoor

homemade-machine-learning

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๐Ÿค– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

links-detector

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๐Ÿ“– ๐Ÿ‘†๐Ÿป Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

machine-learning-experiments

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๐Ÿค– Interactive Machine Learning experiments: ๐Ÿ‹๏ธmodels training + ๐ŸŽจmodels demo

machine-learning-octave

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๐Ÿค– MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

nano-neuron

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๐Ÿค– NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

cnn-from-scratch

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A Convolutional Neural Network implemented from scratch (using only numpy) in Python.

neural-network-from-scratch

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A Neural Network implemented from scratch (using only numpy) in Python.

rnn-from-scratch

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A Recurrent Neural Network implemented from scratch (using only numpy) in Python.