JankowskiDaniel Neural-Deep-Retina issues

JankowskiDaniel / Neural-Deep-Retina

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Inverse transform data

#56 kapiblue closed 3 weeks ago
1
54 fix subset size problem

#55 kapiblue closed 1 month ago
0
Fix subset size problem

#54 kapiblue closed 1 month ago
0
Fix #50, #51, #52

#53 JankowskiDaniel closed 1 month ago
0
Introduce subseq_len in the config

#52 JankowskiDaniel closed 1 month ago
0
Possibility to train RNNs with sequence of length 1

#51 JankowskiDaniel closed 1 month ago
0
[LSTM] - Orthogonal weights initialization

#50 JankowskiDaniel closed 1 month ago
0
47 add data subset field

#49 kapiblue closed 1 month ago
0
Add data subset field in the config files

#48 kapiblue closed 1 month ago
0
46 add support for rmse metric

#47 kapiblue closed 1 month ago
0
Add support for RMSE metric

#46 kapiblue closed 1 month ago
1
Feat #44

#45 JankowskiDaniel closed 1 month ago
0
Reproduce the model from the original publication

#44 JankowskiDaniel closed 1 month ago
0
Smoothen the output signal

#43 kapiblue opened 2 months ago
1
Add prediction step param (Fix #41)

#42 JankowskiDaniel closed 2 months ago
0
Add the prediction step parameter

#41 JankowskiDaniel closed 2 months ago
0
Feat #27

#40 JankowskiDaniel closed 2 months ago
0
Baseline model (Fix #27, #37)

#39 JankowskiDaniel closed 2 months ago
0
Base Data Handler

#38 JankowskiDaniel closed 2 months ago
1
[BASELINE] - Implement data handlers for the baseline model

#37 JankowskiDaniel closed 2 months ago
0
[CNN + CfC] Create an architecture with CfC instead of LSTM

#36 kapiblue opened 2 months ago
1
[visualize] Add training loss plot

#35 kapiblue closed 2 months ago
1
[H5Dataset] - manage creating and loading target scalers

#34 kapiblue closed 2 months ago
0
Upload Signal weighted MSE loss

#33 kapiblue closed 2 months ago
0
Feat #25

#32 JankowskiDaniel closed 2 months ago
0
[H5SeqDataset] - AttributeError: 'H5SeqDataset' object has no attribute 'use_saved_scaler'

#31 JankowskiDaniel closed 2 months ago
0
Allow for using a saved scaler for train data

#30 kapiblue closed 2 months ago
0
Transform the autoencoder to a fully convolutional one

#29 kapiblue closed 1 month ago
3
Preserve data sparsity in the StandardScaler()

#28 kapiblue closed 2 months ago
0
[BASELINE] - CNN architecture with subsequence (3 images) in RGB channels

#27 JankowskiDaniel closed 2 months ago
0
[CNN+LSTM] Reduce the hidden_size of the LSTM cell

#26 JankowskiDaniel closed 2 months ago
0
[CNN+LSTM] - Limit the number of layers in VGG encoder

#25 JankowskiDaniel closed 2 months ago
2
Enable testing on train data in test.py

#24 kapiblue closed 3 months ago
0
Separate directory for config files

#23 kapiblue closed 3 months ago
0
Correct output shape of the encoder

#22 kapiblue closed 3 months ago
0
Correct input shape of the encoder

#21 kapiblue closed 3 months ago
0
Multiple legends on the response outputs vs targets plot

#20 kapiblue closed 3 months ago
0
Dev cnn lstm

#19 JankowskiDaniel closed 3 months ago
0
Save the sklearn scaler for the reproduction

#18 JankowskiDaniel closed 3 months ago
1
Encoders capability for image sequence processing

#17 JankowskiDaniel closed 3 months ago
0
Fix a proper RGB support in the sequence dataset

#16 JankowskiDaniel closed 3 months ago
0
Implement an architecture with CNN and LSTM

#15 kapiblue closed 2 months ago
4
Implement an architecture with a model for video

#14 kapiblue opened 3 months ago
5
Create a dataset class that handles sequences

#13 kapiblue closed 3 months ago
0
Implement early stopping

#12 kapiblue closed 3 months ago
1
Rewrite H5Dataset

#11 kapiblue closed 3 months ago
0
Implement CI/CD in the repository

#10 JankowskiDaniel closed 3 months ago
3
Dev training

#9 JankowskiDaniel closed 4 months ago
0
Reorganize the implementation into three main groups: Architectures, Encoders, Predictors

#8 JankowskiDaniel closed 4 months ago
0
Implement training and testing loop

#7 JankowskiDaniel closed 3 months ago
3