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Title: GitHub - devkoriel/MLimpl: ML models implementation practice

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https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795
https://www.geeksforgeeks.org/implementation-of-neural-network-from-scratch-using-numpy/https://www.geeksforgeeks.org/implementation-of-neural-network-from-scratch-using-numpy/
https://patch-diff.githubusercontent.com/devkoriel/MLimpl#cnn
https://towardsdatascience.com/lets-code-convolutional-neural-network-in-plain-numpy-ce48e732f5d5https://towardsdatascience.com/lets-code-convolutional-neural-network-in-plain-numpy-ce48e732f5d5
https://patch-diff.githubusercontent.com/devkoriel/MLimpl#rnn
https://towardsdatascience.com/animated-rnn-lstm-and-gru-ef124d06cf45https://towardsdatascience.com/animated-rnn-lstm-and-gru-ef124d06cf45
https://towardsdatascience.com/implementing-recurrent-neural-network-using-numpy-c359a0a68a67https://towardsdatascience.com/implementing-recurrent-neural-network-using-numpy-c359a0a68a67
http://aikorea.org/blog/rnn-tutorial-1/http://aikorea.org/blog/rnn-tutorial-1/
https://aikorea.org/blog/rnn-tutorial-2/https://aikorea.org/blog/rnn-tutorial-2/
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/
https://patch-diff.githubusercontent.com/devkoriel/MLimpl#attention
https://arxiv.org/pdf/1904.02874.pdfhttps://arxiv.org/pdf/1904.02874.pdf
https://towardsdatascience.com/intuitive-understanding-of-attention-mechanism-in-deep-learning-6c9482aecf4fhttps://towardsdatascience.com/intuitive-understanding-of-attention-mechanism-in-deep-learning-6c9482aecf4f
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