Issues
- 0
Breze installation
#89 opened by FAZLIHADI - 1
Deep Varational Bayes Filters: Dynamic pendulum
#88 opened by xgastaldi - 2
- 0
Make trainer have a runtime
#72 opened by bayerj - 0
- 0
Move some modules one namespace up
#5 opened by bayerj - 0
Unified API for affine feature extractors
#4 opened by bayerj - 0
Document scatterplot function
#6 opened by bayerj - 0
Rename glm.py
#8 opened by bayerj - 0
- 0
Check docstrings in MLP code of iter_fit
#12 opened by bayerj - 0
- 0
Mlps should randomize with climin.mathadapt
#15 opened by bayerj - 0
- 0
- 0
signal module needs documentation
#23 opened by bayerj - 0
Unify argument names over mlps, rnns wrt hidden transfer functions and layer sizes
#21 opened by bayerj - 0
xca should got into pca module
#27 opened by bayerj - 0
Update tutorial
#32 opened by bayerj - 0
- 1
some docs are broken
#34 opened by bayerj - 0
Curate Dropout
#30 opened by bayerj - 0
Use SKLearn API
#31 opened by bayerj - 0
- 0
Parameter initialization for auto encoders
#2 opened by bayerj - 1
Curate Convolutional Networks
#36 opened by bayerj - 0
Consistent abbreviations for distributions
#44 opened by bayerj - 6
Problems using breze with GPU
#40 opened by makarl - 0
Curate ensemble.py
#7 opened by bayerj - 0
Make models picklable
#29 opened by bayerj - 0
rim should use numpydoc
#19 opened by bayerj - 0
Use numpydoc in glm module
#9 opened by bayerj - 0
Use numpydoc in lde module
#11 opened by bayerj - 0
Documentation style for autoencoders
#1 opened by bayerj - 0
pca module should use numpydoc
#16 opened by bayerj - 0
rica should use numpydoc
#17 opened by bayerj - 0
sparse coding should use numpydoc
#24 opened by bayerj - 0
sfa module should use numpydoc
#22 opened by bayerj - 0
tsne should use numpydoc
#25 opened by bayerj - 0
xca should use numpydoc
#28 opened by bayerj - 0
remove unsupervised rnn module
#26 opened by bayerj - 0