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terkkila
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cgml
Machine Learning with Computational Graphs
Apache License 2.0
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Feature python3
#32
terkkila
closed
8 years ago
0
Move configuration inside the code
#31
terkkila
closed
9 years ago
0
Make CGML pip-installable
#30
terkkila
closed
9 years ago
0
Extending CG schema with weight data
#29
terkkila
closed
9 years ago
0
Shift-variant convolution
#28
terkkila
opened
10 years ago
0
Layer weight diagnostics
#27
terkkila
closed
10 years ago
0
Costs and activation functions for Saturating Autoencoder
#26
terkkila
opened
10 years ago
0
Choose target type
#25
terkkila
closed
9 years ago
0
Branching graph
#24
terkkila
closed
10 years ago
0
Supervised autoencoder
#23
terkkila
closed
10 years ago
0
Support multiple convolution kernels per layer
#22
terkkila
closed
10 years ago
0
Unsupervised pre-training
#21
terkkila
opened
10 years ago
1
Visualize reconstructed objects
#20
terkkila
closed
10 years ago
0
2d data IO handling
#19
terkkila
closed
10 years ago
0
Reinforcement Learning with path integrals
#18
terkkila
opened
10 years ago
0
Autoencoder schema validity checker
#17
terkkila
closed
10 years ago
0
Redesign layer classes for convolution
#16
terkkila
closed
10 years ago
0
Monitor validation error
#15
terkkila
closed
10 years ago
0
Cost function for vectorized target
#14
terkkila
closed
9 years ago
0
Sparse matrix support
#13
terkkila
opened
10 years ago
0
multi-threaded BLAS
#12
terkkila
opened
10 years ago
0
2d convolution operator
#11
terkkila
closed
10 years ago
0
Replay Memory
#10
terkkila
opened
10 years ago
0
Eligibility Tracing
#9
terkkila
opened
10 years ago
0
Q-learning
#8
terkkila
opened
10 years ago
0
Data streaming
#7
terkkila
closed
9 years ago
0
Data randomization
#6
terkkila
closed
9 years ago
0
Model save/load
#5
terkkila
closed
10 years ago
1
Weight normalization
#4
terkkila
opened
10 years ago
0
Regularization
#3
terkkila
closed
10 years ago
0
Mini-batch
#2
terkkila
closed
10 years ago
0
Adaptive gradient descent
#1
terkkila
closed
10 years ago
0