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This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Implementation of Deep Q-network to play the game 2048 using Keras.
This is an attempt to compare and test various techniques used in seq2seq modelling, on a question generation task
PyTorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
Comparison of SVM made from start with that of Sklearn
This is an attempt to detect the flair of a Reddit post.
The requirements mentioned in the setup.py file include typing which is redundant as it is included in the stdlib from python 3.5 onwards see here
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