Issues
- 1
- 0
Include check for cuda in seed utility
#49 opened by einbandi - 0
Minor issues in `_determine_loss` method
#48 opened by einbandi - 0
- 1
- 0
Add detailed history to `CompoundLoss`
#47 opened by einbandi - 1
Color palette import fails
#46 opened by einbandi - 0
Update/add badges in docs and notebooks
#45 opened by einbandi - 1
Save example script output to files
#38 opened by einbandi - 0
Remove underscore in `_compute_global_relations`
#42 opened by einbandi - 0
Allow global relations to use different data key
#43 opened by einbandi - 0
- 0
Make epoch parameter consistent
#41 opened by einbandi - 1
- 0
Switch from `utils.report` to `logging` module
#34 opened by einbandi - 0
Write scatterplot util function
#39 opened by einbandi - 0
Create example folder with short scripts
#37 opened by einbandi - 0
- 0
Rethink used of self-defined `Tensor` type
#27 opened by einbandi - 1
- 0
Implement `ParametricUMAP`
#32 opened by einbandi - 0
Implement `__repr__` for all classes
#24 opened by einbandi - 0
- 1
Test negative edge sampling
#30 opened by einbandi - 0
Move building of default model to `ParametricDR`
#31 opened by einbandi - 2
Introduce new parameter to control number of batches in negative edge sampling
#25 opened by einbandi - 0
Change defaults in `ParametricTSNE`
#29 opened by einbandi - 0
Parameters of training phases not correct
#28 opened by einbandi - 2
Adapt losses to automatically use correct device
#23 opened by einbandi - 1
Fix formatting of function definitions
#6 opened by einbandi - 2
Check and fix all docstrings
#19 opened by einbandi - 2
Implement exaggeration
#14 opened by einbandi - 0
Implement functional/lambda transform
#22 opened by einbandi - 2
Implement low-dimensional transform for t-SNE
#15 opened by einbandi - 0
Implement low-dimensional transform for UMAP
#17 opened by einbandi - 0
- 0
Implement high-dimensional transform for UMAP
#16 opened by einbandi - 0
Change output behavior of relations
#18 opened by einbandi - 1
Rethink implementation of transforms
#20 opened by einbandi - 2
- 0
Implement memory-efficient subsampling of non-square or non-sparse relation data
#13 opened by einbandi - 0
Change type hints for optional parameters
#7 opened by einbandi - 0
Add method to run training phase
#12 opened by einbandi - 0
- 0
- 0
Write method to register dataset
#5 opened by einbandi - 0
- 2
- 1
Create TrainingPhase class and/or add "add_training_phase" method to ParametricDR
#1 opened by einbandi