Recent Releases of https://github.com/google-research/large_scale_mmdma
https://github.com/google-research/large_scale_mmdma - Minor release
- Python
Published by LaetitiaPapaxanthos almost 3 years ago
https://github.com/google-research/large_scale_mmdma - Minor release
- refresh tutorial
- change requirements to adapt to Colab
- Python
Published by LaetitiaPapaxanthos almost 3 years ago
https://github.com/google-research/large_scale_mmdma - Minor release
- Python
Published by LaetitiaPapaxanthos almost 3 years ago
https://github.com/google-research/large_scale_mmdma - Release:
- add flag for amsgrad
- fix output filename
- add torch Tensor as possible input format
- add regulariser normalisation
- add automatic keops flag
- update tests
- Python
Published by LaetitiaPapaxanthos almost 3 years ago
https://github.com/google-research/large_scale_mmdma - 0.1.6 Minor release: updates readme
- Python
Published by LaetitiaPapaxanthos almost 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: stopping criterion and others.
stopping criterion, recording the loss every epoch, fix input for h5ad format, update of the doc
- Python
Published by LaetitiaPapaxanthos almost 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Fix output for NO.
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor revision: fix output for NO metrics.
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Fix metrics output.
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: KeOps version in master
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Release:
- stochastic optimisation version
- FOSCTTM that scales to hundreds of thousands of samples
- LTA and NO metrics
- possibility to input cell_labels, for computation of LTA
- possibility to choose between small evaluation and large one during training
- IO edits
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: allowing more input formats.
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Minor edits, allowing anndata input.
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Fixing flags and import. Adding benchmark. Other minor modifications.
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Editing readme, improving output, passing seed to generated data.
- Python
Published by LaetitiaPapaxanthos about 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Fixing seed.
- Python
Published by LaetitiaPapaxanthos over 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Fixing workflow.
- Python
Published by LaetitiaPapaxanthos over 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Better requirements.
- Python
Published by LaetitiaPapaxanthos over 4 years ago
https://github.com/google-research/large_scale_mmdma - Minor release: Better requirements.
- Python
Published by LaetitiaPapaxanthos over 4 years ago