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* Memory net 3 candidate sizeAlex Auvolat2015-07-281-5/+5
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* Memory network configurationsAlex Auvolat2015-07-273-10/+65
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* Bidir RNN with windowAlex Auvolat2015-07-273-1/+83
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* forgotten importAlex Auvolat2015-07-271-0/+1
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* alexandre mlp no tgtclsÉtienne Simon2015-07-271-0/+35
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* memory net mlp 2 momentumÉtienne Simon2015-07-271-0/+54
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* Add bigger memory networksÉtienne Simon2015-07-272-0/+107
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* Add bidirectional with recurrent ReLuÉtienne Simon2015-07-271-0/+36
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* Config filesAlex Auvolat2015-07-274-6/+46
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* Add batch sortingAlex Auvolat2015-07-251-3/+3
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* Add memory_net_bidir_momAlex Auvolat2015-07-252-2/+60
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* Good learning rate for bidir_tgtcls_1_momAlex Auvolat2015-07-251-1/+3
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* Change batch size for smaller GPUAlex Auvolat2015-07-251-2/+2
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* Add bidirectional_tgtcls_1_momentumAlex Auvolat2015-07-251-0/+36
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* Add bidirectional_tgtcls_2Alex Auvolat2015-07-241-0/+33
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* Change batch size for bidir_tgtcls_1Alex Auvolat2015-07-241-1/+1
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* Remove old memory network config filesÉtienne Simon2015-07-243-156/+0
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* Fix memory networkÉtienne Simon2015-07-241-0/+54
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* Add --progres option for ProgressBarAlex Auvolat2015-07-241-1/+1
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* RNN & Bidir RNN refactoring (& fixes, maybe)Alex Auvolat2015-07-242-12/+7
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* Use new tvt dataset with option --tvtÉtienne Simon2015-07-2331-35/+0
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* Memory network with bidirectionnal RNNAlex Auvolat2015-07-231-0/+56
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* Add bidirectionalÉtienne Simon2015-07-212-0/+67
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* Genericize RNNsÉtienne Simon2015-07-213-1/+87
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* Add memory network config files (not sure how usefull they are)Alex Auvolat2015-07-142-0/+114
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* Batch shufflingAlex Auvolat2015-07-101-2/+2
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* Add batch shuffle preprocessing stepAlex Auvolat2015-07-061-0/+40
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* Add small modelsAlex Auvolat2015-07-023-2/+79
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* Remove _simpleÉtienne Simon2015-07-0218-17/+17
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* Step rule & dropout params cleanupAlex Auvolat2015-07-021-2/+5
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* Unify parameters for joint_simple_tgtcls_111_cswdtx_bigger{,_dropout}Alex Auvolat2015-07-023-9/+8
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* Load model parameters only when specified in the configAdeB2015-06-241-0/+2
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* New configs. training step rule out of train.pyAdeB2015-06-242-11/+57
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* Update memory networkÉtienne Simon2015-06-221-2/+3
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* Fix candidate_encoder dim_inputÉtienne Simon2015-06-211-1/+1
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* Add bugged memory networksÉtienne Simon2015-06-211-0/+43
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* Model with only embeddings.AdeB2015-06-211-0/+31
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* Add basic RNNÉtienne Simon2015-06-111-0/+33
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* Remove useless n_valid in configs.Étienne Simon2015-05-2717-34/+0
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* Add parametrizability for how the training data is presentedAlex Auvolat2015-05-2217-1/+21
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* Fix embeddings sizes.Étienne Simon2015-05-228-16/+16
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* Remove useless n_end_pts from configs.Étienne Simon2015-05-2117-17/+0
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* Fix new models.Alex Auvolat2015-05-213-9/+12
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* Merge branch 'alex' into newAlex Auvolat2015-05-213-0/+170
|\ | | | | | | | | | | Conflicts: model/joint_simple_mlp_tgtcls.py train.py
| * Model changesAlex Auvolat2015-05-213-0/+170
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* | Use os.path.join and close filesÉtienne Simon2015-05-188-8/+16
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* | Refactor models, clean the code and separate training from testing.Étienne Simon2015-05-1814-21/+83
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* Add model with hidden layers specific to time/dest prediction.Alex Auvolat2015-05-081-0/+55
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* Add scaling factor between two costs in joint modelAlex Auvolat2015-05-081-0/+3
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* Add model for a network that predicts both time and destination.Alex Auvolat2015-05-081-0/+52
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