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This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Implementation of Deep Q-network to play the game 2048 using Keras.
PyTorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
This is an attempt to compare and test various techniques used in seq2seq modelling, on a question generation task
This is an attempt to detect the flair of a Reddit post.
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