{"id":18401708,"url":"https://github.com/borealisai/eval_dr_by_wsd","last_synced_at":"2025-04-12T17:50:04.630Z","repository":{"id":79846573,"uuid":"165149602","full_name":"BorealisAI/eval_dr_by_wsd","owner":"BorealisAI","description":"Evaluating quality of dimensionality reduction map with Wasserstein distances","archived":false,"fork":false,"pushed_at":"2019-01-11T00:09:24.000Z","size":195,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-02-16T03:35:59.083Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BorealisAI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-01-11T00:03:38.000Z","updated_at":"2023-09-23T03:32:43.000Z","dependencies_parsed_at":null,"dependency_job_id":"f171d5dc-639d-4e96-8afd-ec6b61255dfc","html_url":"https://github.com/BorealisAI/eval_dr_by_wsd","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorealisAI%2Feval_dr_by_wsd","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorealisAI%2Feval_dr_by_wsd/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorealisAI%2Feval_dr_by_wsd/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BorealisAI%2Feval_dr_by_wsd/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BorealisAI","download_url":"https://codeload.github.com/BorealisAI/eval_dr_by_wsd/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248610362,"owners_count":21132920,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-06T02:39:42.271Z","updated_at":"2025-04-12T17:50:04.584Z","avatar_url":"https://github.com/BorealisAI.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Evaluating quality of dimensionality reduction map with Wasserstein distances\n\n## Code for \"Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds\" (NeurIPS 2018)\n\nThis repo contains the code for calculating the empirical Wasserstein many-to-one and discontinuity.\n\n`example_swissroll_pca.ipynb` illustrates how the calculation is done.\n\nPaper: https://papers.nips.cc/paper/8065-dimensionality-reduction-has-quantifiable-imperfections-two-geometric-bounds\n\nBlog post: https://www.borealisai.com/en/blog/dimensionality-reduction-finally-has-quantifiable-imperfections/\n\nbibtex entry:\n```bibtex\n@inproceedings{lui2018dimensionality,\n  title={Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds},\n  author={Lui, Kry and Ding, Gavin Weiguang and Huang, Ruitong and McCann, Robert},\n  booktitle={Advances in Neural Information Processing Systems},\n  pages={8462--8472},\n  year={2018}\n}\n```\n\n## Dependencies\n* [numpy](http://www.numpy.org/)\n* [scipy](https://scipy.org/scipylib/)\n* [pot](https://pot.readthedocs.io/en/stable/)\n* [faiss](https://github.com/facebookresearch/faiss)\n* [scikit-learn](https://scikit-learn.org/stable/) (for running the examples)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fborealisai%2Feval_dr_by_wsd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fborealisai%2Feval_dr_by_wsd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fborealisai%2Feval_dr_by_wsd/lists"}