Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
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Updated
Dec 1, 2016 - Python
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Paragraph vector analysis of state of the union addresses
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Word2Vec based matching model for patient similarity matching
A word2vec port for Windows.
MOVED to https://gitlab.com/nicstrisc/B-COSFIRE-MATLAB. Matlab implementation of the B-COSFIRE filters for detection of curvilinear patterns in images
Implementation of Information Dropout
Semantic Entity Retrieval Toolkit
gipa -- compression/decompression tool to package compress and encode massive archive files with floating-point data
Advertisement search interface based on image similarity.
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
A representation learning method for predicting protein-protein interactions
Materials for class, workshop, tutorials
Poincaré Embedding
OhmNet: Representation learning in multi-layer graphs
ICE: Item Concept Embedding
Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
Experiments for cross-propagation
Name Disambiguation using Network Embedding
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