Commits

Commits on May 29, 2016

fixed merge conflict
mihail911
committedMay 29, 2016

Commits on May 28, 2016

LSTM and feedforward net operating properly
rhyschris
committedMay 28, 2016
Got sklearn working when back-converting from indices
rhyschris
committedMay 28, 2016
Got sklearn log_reg to give expected results on dataset. Now regressing
rhyschris
committedMay 28, 2016

Commits on May 27, 2016

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Commits on May 29, 2016

fixed merge conflict

Commits on May 28, 2016

LSTM and feedforward net operating properly

Got sklearn working when back-converting from indices

Got sklearn log_reg to give expected results on dataset. Now regressing

Commits on May 27, 2016

Turned LSTM sequence into concatenated premise-hypothesis encoding. Still no good.

Single hidden layer LSTM. Still not working.

Added GLOVE vector functionality. Still bad dev results (~0.48 F1).

Added support for a 3-layer neural network with sum-of-embeddings

Added glorot normal initialization

Commits on May 26, 2016

changed learning to use adam

added script for generating runs and l2 reg support

Commits on May 24, 2016

got the model to overfit on small dataset

slight bug in shape mismatch in compute f1

Got rid of pesky dual get_vocab function, used correct max_seqlen

fixed matrix to vec error conversion

Fix to translate label binarization appropriately

Commits on May 23, 2016

Added small passing test for memn2n

slightly buggy conversion to nli task

Partial implementation of SICK dataset parsing in memn2n.py

Commits on May 22, 2016

Added modularized + commented end-to-end memory network implementation in theano + lasagne

Commits on May 21, 2016

Fixed a dropout thing

Commits on May 16, 2016

Fixed small bug in sum_embeddings

Dropout + Logging

Commits on Apr 22, 2016

added a bunch of utils and baseline model from other repo

added README

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