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jku-vds-lab
/
paradime
A framework for parametric dimensionality reduction
MIT License
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fix parsing
#57
einbandi
closed
1 year ago
0
Update parsing
#56
einbandi
closed
1 year ago
0
Adding Isomap
#55
sophiema2507
opened
1 year ago
0
[feature] time-aligned dimensionality reduction
#54
mglowacki100
opened
1 year ago
1
add from_spec docstring and fix docs
#53
einbandi
closed
1 year ago
0
fix docs
#52
einbandi
closed
1 year ago
0
update docs
#51
einbandi
closed
1 year ago
0
Dev
#50
einbandi
closed
1 year ago
0
Include check for cuda in seed utility
#49
einbandi
closed
1 year ago
0
Minor issues in `_determine_loss` method
#48
einbandi
closed
1 year ago
0
Add detailed history to `CompoundLoss`
#47
einbandi
closed
2 years ago
0
Color palette import fails
#46
einbandi
closed
2 years ago
1
Update/add badges in docs and notebooks
#45
einbandi
closed
2 years ago
0
Allow different model methods to be used in losses
#44
einbandi
closed
2 years ago
0
Allow global relations to use different data key
#43
einbandi
closed
2 years ago
0
Remove underscore in `_compute_global_relations`
#42
einbandi
closed
2 years ago
0
Make epoch parameter consistent
#41
einbandi
closed
2 years ago
0
Add possibility to apply transforms also to submatrices
#40
einbandi
closed
2 years ago
1
Write scatterplot util function
#39
einbandi
closed
2 years ago
0
Save example script output to files
#38
einbandi
closed
2 years ago
1
Create example folder with short scripts
#37
einbandi
closed
2 years ago
0
Try to reproduce supervised results from `ideas.ipynb`
#36
einbandi
closed
2 years ago
1
Check settings in `pumap-dev.ipynb` and try to reproduce
#35
einbandi
closed
2 years ago
0
Switch from `utils.report` to `logging` module
#34
einbandi
closed
2 years ago
0
Test additional losses and move them to a meaningful place
#33
einbandi
opened
2 years ago
0
Implement `ParametricUMAP`
#32
einbandi
closed
2 years ago
0
Move building of default model to `ParametricDR`
#31
einbandi
closed
2 years ago
0
Test negative edge sampling
#30
einbandi
closed
2 years ago
1
Change defaults in `ParametricTSNE`
#29
einbandi
closed
2 years ago
0
Parameters of training phases not correct
#28
einbandi
closed
2 years ago
0
Rethink used of self-defined `Tensor` type
#27
einbandi
closed
2 years ago
0
Pass verbosity of `ParametricDR` on to all relations, transforms and losses
#26
einbandi
closed
2 years ago
0
Introduce new parameter to control number of batches in negative edge sampling
#25
einbandi
closed
2 years ago
2
Implement `__repr__` for all classes
#24
einbandi
closed
2 years ago
0
Adapt losses to automatically use correct device
#23
einbandi
closed
2 years ago
2
Implement functional/lambda transform
#22
einbandi
closed
2 years ago
0
Implement `relations` attribute of `Relations` as property
#21
einbandi
closed
2 years ago
0
Rethink implementation of transforms
#20
einbandi
closed
2 years ago
1
Check and fix all docstrings
#19
einbandi
closed
2 years ago
2
Change output behavior of relations
#18
einbandi
closed
2 years ago
0
Implement low-dimensional transform for UMAP
#17
einbandi
closed
2 years ago
0
Implement high-dimensional transform for UMAP
#16
einbandi
closed
2 years ago
0
Implement low-dimensional transform for t-SNE
#15
einbandi
closed
2 years ago
2
Implement exaggeration
#14
einbandi
closed
2 years ago
2
Implement memory-efficient subsampling of non-square or non-sparse relation data
#13
einbandi
closed
2 years ago
0
Add method to run training phase
#12
einbandi
closed
2 years ago
0
add `set_training_defaults` method to `ParametricDR`
#11
einbandi
closed
2 years ago
0
`add_training_phase` does not accept `TrainingPhase` object as input
#10
einbandi
closed
2 years ago
0
Add Relation that works with negative edge sampling
#9
einbandi
closed
2 years ago
2
Change type hints for optional parameters
#7
einbandi
closed
2 years ago
0
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