Tree LSTM implementation in PyTorch
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Updated
Sep 30, 2019 - Python
Tree LSTM implementation in PyTorch
Tensorflow based solution for Assignment-3 (Recursive Neural Nets) from CS224d: Deep learning for Natural Language Processing.
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[CVPR'19] Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction
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Recursive Neural Networks for PyTorch
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The Deep Learning exercises provided in DataCamp
Exploiting Multi-Layer Features Using a CNN-RNN Approach for RGB-D Object Recognition (ECCV 2018 workshops)
Tree Stack Memory Units
Ideology Detection in the Indian Mass Media
Sentiment Analysis using Recursive Neural Network
Character-level RNN for text generation. Trained on Anna Karenina (included in /data folder)
In this project I generated my own Seinfeld TV scripts using RNNs using part of the Seinfeld dataset of scripts from 9 seasons.
Project of Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature
Implementation of Recursive Neural Tensor Network as described in https://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf
hippocampus volume quantification
Generate a TV script for a Simpsons episode, based on previous episodes.
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