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lmjohns3
/
theanets
Neural network toolkit for Python
http://theanets.rtfd.org
MIT License
328
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Proposing a PR to fix a few small typos
#136
timgates42
opened
3 years ago
0
xor example not working
#135
chriscamacho
opened
6 years ago
0
Problem: Cannot pass theano.shared to .itertrain()
#134
Philipp777
opened
6 years ago
0
Error in Quick Start: Recurrent Models
#133
saddy001
opened
7 years ago
2
Preserve recurrent hidden state across training examples
#132
feynmanliang
opened
8 years ago
2
Handle unicode text
#131
feynmanliang
opened
8 years ago
4
autoencoder stop training
#130
Duanexiao
opened
8 years ago
3
New loss function: ROC AUC score
#129
saddy001
opened
8 years ago
1
UnsupervisedPretrainer broken
#128
droid666
closed
8 years ago
1
Is there any way to get feedback during training?
#127
gtzo
closed
8 years ago
1
use shape information in layers where possible
#126
lmjohns3
closed
8 years ago
0
The current clockwork RNN implementation
#125
ypxie
closed
8 years ago
7
for clockwork RNN
#124
ypxie
closed
8 years ago
0
Fix bug in BernoulliDropout
#123
kaikaun
closed
8 years ago
3
After finishing training, get the number of iterations
#122
SadatAnwar
closed
8 years ago
1
Hidden_l1 problem
#121
jamona
opened
8 years ago
1
add "bayesian rnn" implementation
#120
lmjohns3
opened
8 years ago
1
add
#119
lmjohns3
closed
8 years ago
0
memory leaks when calling predict() and load()
#118
lmjohns3
opened
8 years ago
0
add feed_forward-like method for computing loss value
#117
lmjohns3
opened
8 years ago
1
Problem saving a network with compound activations
#116
juliettema
closed
8 years ago
3
[DOCS] Update MNIST example to use 2D Convolutions
#115
ghost
closed
8 years ago
1
Unable to load a theanets.Regressor from file using the load
#114
SadatAnwar
closed
8 years ago
2
'SGD' object has no attribute 'iterate'
#113
pannous
closed
8 years ago
2
Model-rng only for Regressor
#112
talpay
closed
8 years ago
1
RNN not able to predict using existing state
#111
joetigger
closed
8 years ago
1
add model-wide rng parameter
#110
lmjohns3
closed
8 years ago
0
Bug in MUT1
#109
joetigger
closed
8 years ago
1
RNN not converging
#108
joetigger
closed
8 years ago
6
.
#107
talpay
closed
8 years ago
0
Classification with two classes
#106
fordanic
closed
8 years ago
1
Any plans for supporting multi dimensional RNN?
#105
ypxie
closed
8 years ago
1
does theanets support gradient of subtensor?
#104
fedorajzf
closed
8 years ago
1
python and ipython crashes when running examples on Win 8 x64
#103
fordanic
closed
8 years ago
6
Problem with reproducibility for release 0.6.2
#102
tlikhomanenko
closed
8 years ago
2
new feature request: Allow theanets.recurrent.batches(...) to accept a pandas dataframe
#101
kzk2000
opened
9 years ago
0
hidden dropout w/ 'predict' not performing as expected
#100
white54503
closed
9 years ago
1
feature: use file-like objects for net saving and loading
#99
majidaldo
closed
8 years ago
5
Layerwise GPU memory use
#98
abramhindle
opened
9 years ago
1
theanets package on PyPI is broken or obsolete
#97
Franck-Dernoncourt
closed
9 years ago
1
feature: automatically switch b/w GPU and CPU for performance
#96
majidaldo
closed
9 years ago
5
Error in build_graph (The updates parameter must be an OrderedDict/dict)
#95
qyouurcs
closed
9 years ago
3
unexpected keyword argument 'rng' in graph.py
#94
nkundiushuti
closed
9 years ago
7
CPU/GPU saving/conversion -- what actually needs to be serialized?
#93
abramhindle
closed
9 years ago
3
Perilous pretraining, poorly named outputs causing key errors? 'pretrain' issue.
#92
abramhindle
closed
9 years ago
4
Can't deserialize Regressor networks: AttributeError: 'Regressor' object has no attribute '_functions' as of 33775e7c96
#91
abramhindle
closed
9 years ago
2
Using theanets with ipython notebook
#90
spudzee
closed
9 years ago
7
Passing the random number generator to the Dataset constructor
#89
ibeltagy
closed
9 years ago
1
create a model for jointly optimizing multiple models
#88
lmjohns3
closed
9 years ago
4
Looks like save_progress and save_every are not working in v0.6.2
#87
ibeltagy
closed
9 years ago
2
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