issues
search
Thunfischpirat
/
SpokenDigits
This is our submission for the final graded project for the WS22/23 course "Neural Networks: Theory and Implementation" at Saarland University.
1
stars
0
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Complete `SolutionNotebook.ipynb`
#40
Introvertuoso
closed
1 year ago
0
TransformerModel in master isn't the best model
#39
Introvertuoso
closed
1 year ago
1
Fix bugs
#38
Thunfischpirat
closed
1 year ago
0
Update SolutionNotebook.ipynb + MNISTAudio + signif. test
#37
Introvertuoso
closed
1 year ago
0
HP optimization broken for TransformerModel
#36
Introvertuoso
closed
1 year ago
0
Saved transformer model broken
#35
Introvertuoso
closed
1 year ago
1
RuntimeError: Sizes of tensors must match except in dimension 0. Expected size 51 but got size 53 for tensor number 1 in the list.
#34
Introvertuoso
closed
1 year ago
1
implement a logistic regression based classifier that is trained on the embeddings created by the model trained with contrastive loss.
#33
Introvertuoso
closed
1 year ago
2
Implement unsupervised model training
#32
Thunfischpirat
closed
1 year ago
0
Implement functionality for solving task III.3
#31
Thunfischpirat
closed
1 year ago
0
Update `SolutionNotebook.ipynb`
#30
Introvertuoso
closed
1 year ago
0
Implement functionality for solving task III.2
#29
Thunfischpirat
closed
1 year ago
0
Add audio transformations and normalize data.
#28
Thunfischpirat
closed
1 year ago
0
Reduce solution notebook
#27
Introvertuoso
closed
1 year ago
0
Update report
#26
Introvertuoso
closed
1 year ago
0
Update figure above abstract and in notebook
#25
Introvertuoso
closed
1 year ago
0
Solution notebook, linear t-SNE, statistical testing & requirements
#24
Introvertuoso
closed
1 year ago
0
Relocate test_statistical_significance
#23
Introvertuoso
closed
1 year ago
0
Add support for non torch models in test_statistical_significance
#22
Introvertuoso
closed
1 year ago
0
Solve task III.1 and deal with collapsing accuracy.
#21
Thunfischpirat
closed
1 year ago
0
Model validation accuracy collapsed
#20
Thunfischpirat
closed
1 year ago
1
Implement functionality for solving task III.1
#19
Thunfischpirat
closed
1 year ago
1
Add support for cpu only machines when loading models
#18
Introvertuoso
closed
1 year ago
1
Create t-SNE embeddings
#17
Thunfischpirat
closed
1 year ago
0
Create t-SNE embeddings for outputs of linear models.
#16
Thunfischpirat
closed
1 year ago
0
Enable folder creation by functions writing to disk.
#15
Thunfischpirat
closed
1 year ago
0
Create solution report as .ipynb.
#14
Introvertuoso
closed
1 year ago
0
Solve task II.4
#13
Thunfischpirat
closed
1 year ago
0
Solve task II.3 of project.
#12
Thunfischpirat
closed
1 year ago
1
Add hyperparameter optimization and classification report function
#11
Thunfischpirat
closed
1 year ago
0
Plot heatmaps from classification report
#10
Thunfischpirat
closed
1 year ago
0
Make classification report writing a function that can work with different models.
#9
Thunfischpirat
closed
1 year ago
0
Save model state dicts during training.
#8
Thunfischpirat
closed
1 year ago
0
Add transformer model and outsource train procedure
#7
Thunfischpirat
closed
1 year ago
0
Integrate early stopping into training procedure.
#6
Thunfischpirat
closed
1 year ago
0
Optimize hyperparameters
#5
Thunfischpirat
closed
1 year ago
0
Start writing the report
#4
Thunfischpirat
closed
1 year ago
0
Complete requirements.txt
#3
Thunfischpirat
closed
1 year ago
0
Make conv1d_model architecture dependent on data format
#2
Thunfischpirat
closed
1 year ago
1
Regenerate data when num_mels or num_frame is changed.
#1
Thunfischpirat
closed
1 year ago
1