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SMART-Lab
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smartmodels
Repository containing all different models we developed in the SMART.
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timeSerie branch
#26
ASalvail
opened
9 years ago
2
Changed pip command to support edits
#25
ASalvail
closed
9 years ago
0
Change travis to check only the master branch
#24
ASalvail
closed
9 years ago
0
Made changes to perceptron to reflect changes in SL
#23
ASalvail
closed
9 years ago
0
Changed imports to fit with changes in SL
#22
ASalvail
closed
9 years ago
0
Switch travis requirements files back to the one from mila-udem
#21
ASalvail
closed
9 years ago
1
BF: Reflect changes made to tasks in smartlearner
#20
MarcCote
closed
9 years ago
0
Add travis support
#19
MarcCote
closed
9 years ago
1
Now use smartlearner instead of smartpy
#18
MarcCote
closed
9 years ago
0
To follow WeightInitializer changes of smartpy
#17
ASalvail
closed
9 years ago
0
Refactoring of the folders structure
#16
MarcCote
closed
9 years ago
0
FFNN checked out from timeSerie branch.
#15
ASalvail
closed
9 years ago
3
Create a better WeightInitializer class to easily initialize weights of a model
#14
MarcCote
closed
9 years ago
3
Make smart-models a library with a dependency on smart-learner.
#13
MarcCote
opened
9 years ago
6
Changed loaded module to access NLL loss function.
#12
ASalvail
closed
9 years ago
0
WIP : LSTM
#11
ASalvail
closed
9 years ago
0
Build a ModelNetwork by putting togheter Layer objects
#10
MarcCote
closed
9 years ago
2
Rename the repo to smart-models
#9
MarcCote
closed
9 years ago
0
Added a classmethod for weight initialization (refactoring)
#8
ASalvail
closed
9 years ago
5
WIP : RNN
#7
ASalvail
closed
9 years ago
0
Modified the ``perceptron`` to use ``sharedX``.
#6
ASalvail
closed
9 years ago
0
Model refactor
#5
ASalvail
closed
9 years ago
0
Fixed import urllib in load_mnist
#4
MarcCote
closed
9 years ago
0
Changed the training script to support the new ``MinibatchSize`` object.
#3
ASalvail
closed
9 years ago
0
Changed the perceptron to use the new Loss classes
#2
ASalvail
closed
9 years ago
0
Perceptron
#1
MarcCote
closed
9 years ago
2