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modern-fortran
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neural-fortran
A parallel framework for deep learning
MIT License
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Update for cmake use of neural-fortran
#192
mathomp4
closed
1 month ago
8
Compile with LFortran
#191
milancurcic
opened
2 months ago
0
Standard conformance fixes
#190
milancurcic
closed
2 months ago
0
Polymorphic allocatables in results of pure functions
#189
milancurcic
closed
2 months ago
0
Remove Keras HDF5
#188
milancurcic
closed
2 months ago
0
Make HDF5 optional under CMake
#187
milancurcic
closed
2 months ago
2
Make HDF5 optional
#186
milancurcic
closed
2 months ago
1
please test with flang
#185
jeffhammond
closed
2 months ago
3
Mv optimizer from the network level to the layer level
#184
jvdp1
opened
4 months ago
0
Intrinsic `pack` replaced by pointers in `get_params` and `get_gradients`
#183
jvdp1
closed
4 months ago
2
Proposition of API for the method `network % evaluate`
#182
jvdp1
closed
4 months ago
7
Replacement of a matmul + use of merge
#181
jvdp1
closed
6 months ago
4
Remove some unused variables and a broadcast
#180
jvdp1
closed
4 months ago
0
Support of a method `network % evaluate`
#179
jvdp1
opened
6 months ago
5
Addidtion of Findneural-fortran.cmake
#178
jvdp1
closed
6 months ago
1
Add topics `deep-learning`, `cnn`
#177
Beliavsky
closed
6 months ago
1
Introduce a separate `network % compile()` step
#176
milancurcic
opened
6 months ago
0
Addition of the Loss derived type and of the MSE loss function
#175
jvdp1
closed
6 months ago
5
More conv2d tests
#174
milancurcic
closed
6 months ago
0
Addition of the MSE loss function
#173
jvdp1
closed
6 months ago
4
Add instructions using Conda
#172
certik
closed
6 months ago
1
Implement locally connected layer (1-d)
#171
milancurcic
opened
7 months ago
0
Implement dropout layer
#170
milancurcic
opened
7 months ago
0
Start-to-finish example
#169
OsAmaro
opened
9 months ago
1
Supported HDF5 version
#168
aminiussi
closed
2 months ago
8
Test failure with ifx
#167
aminiussi
opened
11 months ago
6
Building client code with CMake
#166
aminiussi
closed
6 months ago
6
scaling
#165
castelao
opened
11 months ago
2
Implementing basic RNN
#162
castelao
opened
1 year ago
6
Some tests and examples fail with segmentation fault in serial production build, but not in debug build
#160
asandrock
opened
1 year ago
1
safegaurd Box-Muller normal random number generation against u=0.0
#158
dacarnazzola
closed
1 year ago
10
Added Batch Normalization Layer modules
#157
Spnetic-5
opened
1 year ago
7
Refactor `forward` and `backward` methods to allow passing a batch of data instead of one sample at a time
#156
milancurcic
opened
1 year ago
0
Implement `batchnorm` layer
#155
milancurcic
opened
1 year ago
0
Adagrad Optimizer Implementation
#154
Spnetic-5
closed
1 year ago
1
Adagrad Optimizer Implementation
#153
Spnetic-5
closed
1 year ago
0
Question about the decoupled weight decay in Adam
#152
milancurcic
closed
1 year ago
2
Initializers stub
#151
milancurcic
opened
1 year ago
0
Added Adam optimizer implementation
#150
Spnetic-5
closed
1 year ago
4
v0.13.0 release
#149
milancurcic
closed
1 year ago
5
Added Momentum and Nesterov modifications
#148
Spnetic-5
closed
1 year ago
13
Error while building in latest main
#147
Spnetic-5
closed
1 year ago
1
could it be used for subrountine in FEM softwore ABAQUS
#146
ZPLai
opened
1 year ago
3
CNN training on MNIST does not converge
#145
milancurcic
opened
1 year ago
3
Added RMSProp Optimizer subroutine
#144
Spnetic-5
closed
1 year ago
5
add CELU activation function
#143
pablomazo
closed
1 year ago
0
Connect `flatten`, `conv2d`, and `maxpool2d` layers in backward pass
#142
milancurcic
closed
1 year ago
2
Add missing update for `conv2d_layer`
#141
milancurcic
closed
1 year ago
1
Example program that shows how to access internal layer parameters
#140
milancurcic
closed
1 year ago
1
SGD optimizer stub
#139
milancurcic
closed
1 year ago
2
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